CN112651013B - User account processing method and device, electronic equipment and computer readable medium - Google Patents
User account processing method and device, electronic equipment and computer readable medium Download PDFInfo
- Publication number
- CN112651013B CN112651013B CN202011607437.3A CN202011607437A CN112651013B CN 112651013 B CN112651013 B CN 112651013B CN 202011607437 A CN202011607437 A CN 202011607437A CN 112651013 B CN112651013 B CN 112651013B
- Authority
- CN
- China
- Prior art keywords
- user
- target
- score
- scene
- account
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/44—Program or device authentication
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/45—Structures or tools for the administration of authentication
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/2135—Metering
Landscapes
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the disclosure discloses a user account processing method and device, electronic equipment and a computer readable medium. One embodiment of the method comprises: in response to determining that target single-scene behavior information included in the target scene behavior information of the user meets a first predetermined condition, sending first warning information corresponding to the target single-scene behavior information to a device associated with the user; generating a target score of the user in a preset time period based on the user behavior type, a preset score configuration information set and a historical score included by the target scene behavior information; and in response to determining that the target score and the target scene behavior times meet a second predetermined condition, performing constraint processing on the account of the user. According to the implementation method, multiple violation behaviors of the user can be quantified to perform constraint processing, and the number of violation behaviors of the user is effectively reduced. Therefore, the user experience of the service platform can be improved. And thus the loss of user traffic can be reduced.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a user account processing method, a user account processing device, electronic equipment and a computer readable medium.
Background
With the development of computer technology, different service platforms can monitor the violation behaviors of users and determine the type of the violation behaviors. At present, when a user account corresponding to an illegal action is processed, the method generally adopted is as follows: and performing corresponding processing on the account of the user according to the type of the current violation of the user.
However, when the above method is used to process the user account corresponding to the violation, the following technical problems often exist:
firstly, multiple violations of a user are not quantified, so that the processing force of a user account is light or heavy, the violations of the user are frequent, the user experience of a service platform is poor, and the loss of user traffic is caused;
secondly, the illegal behaviors of the user in multiple scenes are not quantified, so that the processing force on the user account is lighter or heavier, the illegal behaviors of the user are frequent, the user experience of the service platform is poorer, and the flow loss of the user is caused.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose user account processing methods, apparatuses, electronic devices, and computer readable media to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a user account processing method, apparatus, electronic device and computer-readable medium method, where the method includes: in response to the fact that target single-scene behavior information included in target scene behavior information of a user meets a first preset condition, sending first warning information corresponding to the target single-scene behavior information to equipment associated with the user, wherein the target single-scene behavior information comprises target scene behavior times and user behavior types; generating a target score of the user in a preset time period based on the user behavior type, a preset score configuration information set and a historical score included by the target scene behavior information; and in response to the fact that the target score and the target scene behavior times meet a second preset condition, carrying out constraint processing on the account of the user.
In a second aspect, some embodiments of the present disclosure provide a user account processing apparatus, the apparatus comprising: a sending unit configured to send first warning information corresponding to target single-scene behavior information to a device associated with a user in response to determining that the target single-scene behavior information included in the target single-scene behavior information of the user satisfies a first predetermined condition, wherein the target single-scene behavior information includes a target scene behavior number and a user behavior type; a generating unit configured to generate a target score of the user within a preset time period based on the target scene behavior information, a preset score configuration information set, and a historical score included in the target scene behavior information; and the processing unit is configured to perform constraint processing on the account of the user in response to determining that the target score and the target scene behavior times meet a second preset condition.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following beneficial effects: by the user account processing method of some embodiments of the present disclosure, loss of user traffic is reduced. Specifically, the loss of user traffic is due to: multiple violations of the user are not quantified, so that the processing intensity of the user account is light or heavy, the violations of the user are frequent, and the user experience of the service platform is poor. Based on this, the user account processing method according to some embodiments of the present disclosure first sends, in response to determining that target single-scenario behavior information included in target single-scenario behavior information of a user satisfies a first predetermined condition, first warning information corresponding to the target single-scenario behavior information to a device associated with the user. Therefore, the user can be warned through the warning information, and the condition that the restriction processing on the user account is heavy can be avoided. And then, generating a target score of the user in a preset time period based on the user behavior type, a preset score configuration information set and a historical score included by the target scene behavior information. Therefore, multiple illegal behaviors of the user can be quantitatively expressed, and support is provided for constraint processing of the user account. And finally, in response to the fact that the target score and the target scene behavior times meet a second preset condition, carrying out constraint processing on the account of the user. Therefore, the user account can be restrained according to the target score and the target scene behavior times, and the restraint treatment on the user account is avoided to be light. And because the target score is generated, multiple illegal behaviors of the user can be quantized to restrict the account of the user, and the number of illegal behaviors of the user is effectively reduced. Therefore, the user experience of the service platform can be improved. And thus the loss of user traffic can be reduced.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
FIG. 1 is a schematic illustration of one application scenario of a user account processing method according to some embodiments of the present disclosure;
FIG. 2 is a flow diagram of some embodiments of a user account processing method according to the present disclosure;
FIG. 3 is a flow diagram of further embodiments of a user account processing method according to the present disclosure;
FIG. 4 is a flow diagram of still further embodiments of user account processing methods according to the present disclosure;
FIG. 5 is a schematic block diagram of some embodiments of a user account processing apparatus according to the present disclosure;
FIG. 6 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of one application scenario of a user account processing method according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may send first warning information 103 corresponding to target single-scenario behavior information 1021 of a user to a device 104 associated with the user in response to determining that the target single-scenario behavior information 1021 included in the target single-scenario behavior information 102 of the user satisfies a first predetermined condition. The target single scene behavior information 1021 includes a target scene behavior frequency 10211 and a user behavior type 10212. Then, the computing device 101 may generate the target score 106 of the user within a preset time period based on the user behavior type 10212, the preset score configuration information set 105, and the historical score 1022 included in the target scene behavior information 102. Finally, the computing device 101 may perform a constraint process on the account 107 of the user in response to determining that the target score 106 and the target scene behavior times 10211 satisfy a second predetermined condition.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to fig. 2, a flow 200 of some embodiments of a user account processing method according to the present disclosure is shown. The user account processing method comprises the following steps:
In some embodiments, an executing subject of the user account processing method (e.g., the computing device 101 shown in fig. 1) may send first warning information corresponding to the target single scenario behavior information of the user to a device associated with the user in response to determining that the target single scenario behavior information included in the target single scenario behavior information of the user satisfies a first predetermined condition. The target scenario behavior information may be information related to a predetermined behavior of the user in a service scenario (for example, an illegal behavior or a false authentication behavior, where the illegal behavior may be a behavior of the user performing an illegal operation on a service platform, and the false authentication behavior may be a behavior of the user providing false information when the service platform authenticates an account), and may include target single scenario behavior information and a history score. The target single scenario behavior information may be information related to the user's violation in a single service scenario (e.g., a rental service). The target single scene behavior information may include, but is not limited to: target scene behavior times and user behavior types. As an example, the number of target scenario behaviors may be the number of violations generated by the user in the single service scenario. The user behavior type may be a type to which the severity of the violation of the user in the single service scenario belongs, and may include, but is not limited to: mild class, moderate class. The first predetermined condition may be "the number of times of the target scene behavior is equal to or less than a first predetermined threshold or the user behavior type satisfies a predetermined type condition". The historical score may be a sum of scores corresponding to respective violations generated by the user within a preset time period. The score may be a value for evaluating the violation of the user. The higher the score, the greater the impact of the user's violation. In practice, the predetermined type condition may be "the user behavior type is a mild class". The setting of the first predetermined threshold is not limited. The first warning information may be information that characterizes a warning of an illegal action of the user in the single traffic scenario. Therefore, the user can be warned through the warning information, and the condition that the restriction processing on the user account is heavy can be avoided.
As an example, the above target scene behavior information may be [ [1, mild class ],0]. The target scene behavior information may include target single scene behavior information of [1, mild class ]. The target single scene behavior information [1, mild class ] includes the target scene behavior frequency [1]. The target single scene behavior information [1, mild class ] includes a user behavior type [ mild class ]. The target scene behavior information [1, light class, 0] includes a history score of [0]. The first predetermined threshold may be [1]. The predetermined type condition may be "the user behavior type is a mild type". The first predetermined condition may be "the number of times of the target scene behavior is equal to or less than 1 or the user behavior type is a mild type". The execution main body may warn the first warning information "corresponding to the target single scene behavior information" in response to determining that the target single scene behavior number [1] included in the target single scene behavior information [1, mild class ] of the user "YH001" or the user behavior type [ mild class ] included in the target single scene behavior information [1, mild class ] satisfies the first predetermined condition "the target scene behavior number is 1 or less or the user behavior type is mild class": your current operation belongs to the first minor violation "is sent to the display device with display function" XS001 "associated with the user" YH001 ".
In some embodiments, the execution subject may generate a target score of the user within a preset time period based on the user behavior type, a preset score configuration information set, and a historical score included in the target scene behavior information. The preset score configuration information may be configuration related information of a preset score for determining a user behavior type. The preset score configuration information may include a user behavior type and a preset score corresponding to the user behavior type. The preset time period may be a preset time period for monitoring the violation of the user. In practice, first, the execution main body may determine preset score configuration information corresponding to the user behavior type in the preset score configuration information set as target preset score configuration information. Then, a preset score included in the target preset score configuration information may be determined as a target preset score. Finally, the sum of the target preset score and the historical score can be determined as a target score. Therefore, multiple violations of the user can be quantitatively expressed, and support is provided for constraint processing of the user account.
As an example, the preset score configuration information set may be { [ light class, 10], [ medium class, 20] }. The preset score value configuration information [ mild class, 10] includes a user behavior type [ mild class ]. The preset score configuration information [ slight class, 10] includes a preset score [10]. First, the execution subject may determine, as the target preset score configuration information, preset score configuration information [ mild class, 10] corresponding to the user behavior type [ mild class ] included in the target scene behavior information [ [1, mild class ],0] exemplified in step 201, in the preset score configuration information set { [ mild class, 10], [ moderate class, 20 }. Then, the preset score [10] included in the above-described target preset score configuration information [ light class, 10] may be determined as a target preset score. Finally, the sum [10] of the target preset score [10] and the historical score [0] included in the target scene behavior information can be determined as a target score.
And step 203, in response to the fact that the target score and the target scene behavior times meet the second preset condition, performing constraint processing on the account of the user.
In some embodiments, the executing entity may perform the constraint processing on the account of the user in response to determining that the target score and the target scene behavior number satisfy a second predetermined condition. The second predetermined condition may be that "the number of target scene behaviors is greater than or equal to a second predetermined threshold, and the target score is greater than or equal to a third predetermined threshold". The constraint processing may be an operation of performing a restrictive processing on the user account. By way of example, the manner of constraint processing may include, but is not limited to: forbidden word processing, forbidden paste processing and forbidden login processing. The statement prohibition processing may be processing that prohibits the user account from making comments. The posting prohibition process may be a process of prohibiting a user account from posting. The above-described login prohibition process may be a process of prohibiting the user account from logging in. In practice, the executing agent may perform the constraint processing on the account of the user according to the target score. Specifically, the executing entity may perform the barring process on the account of the user in response to the target score being within a first predetermined score interval. The executing body may perform a paste prohibition process on the account of the user in response to the target score being within a second predetermined score interval. The executing body may perform a login prohibition process on the account of the user in response to the target score being within a third predetermined score interval. Here, specific settings of the second predetermined threshold, the third predetermined threshold, the first predetermined score interval, the second predetermined score interval, and the third predetermined score interval are not limited. Therefore, the user account can be restrained according to the target score and the target scene behavior frequency, and the restraint treatment on the user account is avoided with light intensity.
As an example, the above target score may be [20]. The number of target scene behaviors may be [3]. The second predetermined threshold may be [2]. The third predetermined threshold may be [20]. The first predetermined score interval may be [20, 30]. The second predetermined score interval may be (30, 60), the third predetermined score interval may be (60, + ∞), the executing body may disable the account of the user "YH001" in response to determining that the target score [20] and the target scene behavior number [3] satisfy a second predetermined condition, "the target scene behavior number is equal to or greater than a second predetermined threshold [2], and the target score is equal to or greater than a third predetermined threshold [20]", and the target score [20] is within the first predetermined score interval [20, 30].
The above embodiments of the present disclosure have the following advantages: by the user account processing method of some embodiments of the present disclosure, loss of user traffic is reduced. Specifically, the loss of user traffic is due to: multiple violations of the user are not quantified, so that the processing intensity of the user account is light or heavy, the violations of the user are frequent, and the user experience of the service platform is poor. Based on this, the user account processing method according to some embodiments of the present disclosure first sends, in response to determining that target single-scenario behavior information included in target single-scenario behavior information of a user satisfies a first predetermined condition, first warning information corresponding to the target single-scenario behavior information to a device associated with the user. Therefore, the user can be warned through the warning information, and the condition that the restriction processing on the user account is heavy can be avoided. And then, generating a target score of the user in a preset time period based on the user behavior type, a preset score configuration information set and a historical score included by the target scene behavior information. Therefore, multiple violations of the user can be quantitatively expressed, and support is provided for constraint processing of the user account. And finally, in response to the fact that the target score and the target scene behavior times meet a second preset condition, carrying out constraint processing on the account of the user. Therefore, the user account can be restrained according to the target score and the target scene behavior times, and the restraint treatment on the user account is avoided to be light. And because the target score is generated, multiple illegal behaviors of the user can be quantized to restrict the account of the user, and the number of illegal behaviors of the user is effectively reduced. Therefore, the user experience of the service platform can be improved. And thus the loss of user traffic can be reduced.
With further reference to FIG. 3, a flow 300 of further embodiments of a user account processing method is illustrated. The process 300 of the user account processing method includes the following steps:
In some embodiments, the detailed implementation and technical effects of steps 301 to 302 may refer to steps 201 to 202 in those embodiments corresponding to fig. 2, and are not described herein again.
In some embodiments, an executing subject of the user account processing method (for example, the computing device 101 shown in fig. 1) may obtain the preset constraint duration configuration information set from the terminal through a wired connection manner or a wireless connection manner. The preset constraint duration configuration information may be configuration related information of constraint duration. The constraint duration may correspond to a score interval to which the target score of the user belongs. The constraint duration may characterize a time at which a constraint on the user account is expected. The preset constraint duration configuration information may include a score interval and a constraint duration corresponding to the score interval. In response to the time to restrict the user account being greater than the restriction duration, the restriction on the user account may be released.
As an example, the preset constraint duration configuration information set may be { [ [20, 30],3 days ], [ (30, 60],7 days ], [ (60, 90],10 days ], [ (90, + ∞), permanent ] }, wherein the preset constraint duration configuration information [ [20, 30],3 days ] includes a score interval of [20, 30], [3 days ], the preset constraint duration configuration information [ [20, 30],3 days ] includes a constraint duration of [3 days ], [ 90, + ∞ ], permanent ] includes a score interval of (90, + ∞) ], the preset constraint duration configuration information [ (90, + ∞), permanent ] includes a constraint duration of [ permanent ], and the [ permanent ] can represent an indefinite constraint on the user.
In some embodiments, the executing entity may determine, as the target configuration information, preset constraint duration configuration information corresponding to the target score in the preset constraint duration configuration information set. In practice, first, the executing body may determine, among the score intervals included in the preset constraint duration configuration information set, a score interval corresponding to the target score, and use the determined score interval as the target score interval. Then, the preset constraint duration configuration information corresponding to the target score interval in the preset constraint duration configuration information set may be determined as target configuration information. Thus, support can be provided for multi-level constraint processing and penalty recovery processing on the user account.
As an example, the above target score may be [20]. First, the execution subject may determine the score interval [20, 30] illustrated in step 303 corresponding to the target score [20] as a target score interval. Then, the preset constraint duration configuration information [ [20, 30],3 days ] corresponding to the target score interval [20, 30] in the preset constraint duration configuration information set may be determined as the target configuration information.
In some embodiments, the executing entity may perform the constraint processing on the account of the user based on the target configuration information. In practice, the executing entity may perform the constraint processing on the account of the user within a constraint duration included in the target configuration information. As an example, the executing entity may disable the account of user "YH001" within the constraint duration [3 days ] included in the target configuration information [20, 30, 3 days ] illustrated in step 304. Therefore, multi-level constraint processing can be performed on the user account, and meanwhile penalty recovery processing on the user account can be achieved through constraint duration.
As can be seen from fig. 3, compared with the description of some embodiments corresponding to fig. 2, the flow 300 of the user account processing method in some embodiments corresponding to fig. 3 represents a step of expanding the constraint processing. Therefore, the solutions described in the embodiments can perform multi-level constraint processing on the user account, and can realize the penalty recovery processing on the user account through the constraint duration. Therefore, the condition that the degree of constraint processing on the user account is light or heavy can be avoided, and the user experience of the service platform is improved. Thereby reducing the loss of user traffic.
With further reference to FIG. 4, a flow 400 of further embodiments of a user account processing method is shown. The process 400 of the user account processing method includes the following steps:
In some embodiments, the specific implementation of steps 401 to 402 and the technical effects brought by the implementation may refer to steps 201 to 202 in those embodiments corresponding to fig. 2, which are not described herein again.
In some embodiments, the target scenario behavior information may further include target multi-scenario behavior information. The target multi-scenario behavior information may include a multi-scenario cumulative target score. An executing subject of the user account processing method (e.g., the computing device 101 shown in fig. 1) may determine the sum of the above-described target score and the above-described multi-scenario cumulative target score as a multi-scenario target score. The target multi-scenario behavior information may be information related to an illegal behavior of the user in other service scenarios (e.g., the current service scenario is a house renting service, and the other service scenarios are a house buying service and a cleaning service) in a service scenario set (e.g., a house renting service, a house buying service and a cleaning service). The multi-scenario cumulative target score may be a sum of historical scores corresponding to violations of the user in the other service scenarios. Therefore, the violation behaviors of the user in multiple scenes can be quantitatively expressed.
As an example, the above target score may be [20]. The multi-scenario cumulative target score may be [40]. The execution body may determine a sum [60] of the target score [20] and the multi-scene cumulative target score [40] as a multi-scene target score.
And step 404, in response to the fact that the target score and the target scene behavior times meet the second preset condition, constraint processing is carried out on the account of the user.
In some embodiments, the specific implementation of step 404 and the technical effect thereof may refer to step 203 in those embodiments corresponding to fig. 2, which are not described herein again.
In response to determining that the cumulative second warning times satisfy a third predetermined condition, a binding process is performed on the account of the user, step 405.
In some embodiments, the target multi-scenario behavior information may further include accumulating a second warning number. The accumulated second warning times may be a sum of times of the user receiving the second warning (for example, yellow board warning) in each service scenario in the service scenario set within the preset time period. The executing agent may perform the constraint processing on the account of the user in response to determining that the accumulated second warning count satisfies a third predetermined condition. The third predetermined condition may be that "the cumulative number of second warnings is equal to or greater than a fourth predetermined threshold". In practice, the executing agent may perform the constraint processing on the account of the user in response to determining that the cumulative second warning count satisfies a third predetermined condition, "the cumulative second warning count is greater than or equal to a fourth predetermined threshold". The constraint processing may be: and removing the user account information with the preset number from the recommended flow pool in response to the fact that the number of the user account information included in the recommended flow pool of the user account is larger than the preset number corresponding to the second warning times. The constraint processing may reduce the number of times of recommending the release information updated for the account of the user. The recommended traffic pool may be a traffic pool for recommending release information of a user account to a terminal of a related user account, and may include user account information of the related user account. Therefore, the account of the user can be restrained by utilizing the accumulated second warning times of the user in each business scene. Therefore, the constraint processing intensity of the user account can be avoided to be light.
As an example, the above-described cumulative second warning number may be [4]. The fourth predetermined threshold may be [3]. The preset number corresponding to the accumulated second warning times [4] may be [200]. The recommended traffic pool for the account of user "YH001" may include the amount of user account information [300]. The execution main body may remove [200] pieces of user account information from the recommended traffic pool in response to determining that the cumulative second warning number [4] satisfies a third predetermined condition, "the cumulative second warning number is greater than or equal to 3". The recommended traffic pool after the user account information is removed comprises the number of the user account information [100].
In some embodiments, the execution subject may send second warning information corresponding to the objective scene behavior information to a device associated with the user in response to determining that the multi-scene objective score and the cumulative second warning times satisfy a fourth predetermined condition. The fourth predetermined condition may be that "the multi-scene target score is greater than or equal to a fifth predetermined threshold, and the cumulative second warning count does not satisfy the third predetermined condition". Therefore, the user can be warned by sending the second warning information according to the multi-scene target score and the accumulated second warning times of the user. Therefore, the situation that the constraint processing of the user account is heavy can be avoided.
As an example, the multi-scene object score described above may be [60]. The accumulated second warning number may be [2]. The fifth predetermined threshold may be [50]. The executing agent may, in response to determining that the multi-scene goal score [60] and the cumulative second warning count [2] satisfy a fourth predetermined condition, "multi-scene goal score [50] or more, and cumulative second warning count less than 3", warn a second warning message "yellow board" corresponding to the goal scene behavior message: you have been alerted by yellow tiles in multiple applications more than 3 times that we will be flow-limiting penalized "to the display device" XS001 "associated with user" YH001 ".
In some embodiments, the executing agent may update the cumulative second warning count in response to determining that the multi-scene target score and the cumulative second warning count satisfy the fourth predetermined condition. In practice, the updating process may be a self-increasing process of step 1 for the accumulated second warning times. For example, the above-described cumulative second warning number may be [2]. The execution body may perform a self-increment process with a step size of 1 on the accumulated second warning count [2], and the accumulated second warning count after the self-increment process is [3]. Therefore, the second warning which is not subjected to the constraint processing can be counted into the accumulated second warning times, and support is provided for determining the constraint processing to be performed on the user account.
As can be seen from fig. 4, compared with the description of some embodiments corresponding to fig. 2, the flow 400 of the user account processing method in some embodiments corresponding to fig. 4 embodies the steps of constraint processing in an extended multiple service scenario. Thus, the solutions described in the embodiments can avoid the constraint processing of the user account being less or more intensive. Therefore, the number of violation times of the user can be effectively reduced, and the user experience of the service platform can be improved. And thus the loss of user traffic can be reduced.
With further reference to fig. 5, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a user account processing apparatus, which correspond to those of the method embodiments shown in fig. 2, and which can be specifically applied in various electronic devices.
As shown in fig. 5, the user account processing apparatus 500 of some embodiments includes: a transmission unit 501, a generation unit 502 and a processing unit 503. The sending unit 501 is configured to send first warning information corresponding to target single-scene behavior information to a device associated with a user in response to determining that the target single-scene behavior information included in the target single-scene behavior information of the user meets a first predetermined condition, wherein the target single-scene behavior information includes a target scene behavior number and a user behavior type; the generating unit 502 is configured to generate a target score of the user in a preset time period based on the user behavior type, a preset score configuration information set and a historical score included in the target scene behavior information; the processing unit 503 is configured to perform constraint processing on the account of the user in response to determining that the target score and the target scene behavior times satisfy a second predetermined condition.
In an optional implementation of some embodiments, before the processing unit 503 of the user account processing apparatus 500, the user account processing apparatus 500 further comprises: an obtaining unit (not shown in the figure) configured to obtain the preset constraint duration configuration information set.
In an optional implementation of some embodiments, the processing unit 503 of the user account processing apparatus 500 is further configured to: determining preset constraint duration configuration information corresponding to the target score in the preset constraint duration configuration information set as target configuration information; based on the target configuration information, the account of the user is restricted
In an optional implementation manner of some embodiments, the target scenario behavior information includes target multi-scenario behavior information, and the target multi-scenario behavior information includes a multi-scenario accumulated target score.
In an optional implementation of some embodiments, the user account processing apparatus 500 further comprises: a determining unit (not shown in the figure) configured to determine a sum of the target score and the multi-scene cumulative target score as a multi-scene target score.
In an optional implementation manner of some embodiments, the target multi-scenario behavior information further includes accumulating a second warning number.
In an optional implementation of some embodiments, the user account processing apparatus 500 further comprises: and a constraint processing unit (not shown in the figure) configured to perform constraint processing on the account of the user in response to determining that the accumulated second warning times meet a third predetermined condition.
In an optional implementation of some embodiments, the user account processing apparatus 500 further includes: and a second warning information sending unit (not shown in the figure) configured to send second warning information corresponding to the objective scene behavior information to the device associated with the user in response to determining that the multi-scene objective score and the accumulated second warning times satisfy a fourth predetermined condition.
In an optional implementation manner of some embodiments, the second warning information sending unit may include: an update processing unit (not shown in the figure) configured to perform update processing on the accumulated second warning times.
It will be understood that the elements described in the apparatus 500 correspond to various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 500 and the units included therein, and are not described herein again.
Referring now to FIG. 6, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1) 600 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 6, the electronic device 600 may include a processing means (e.g., central processing unit, graphics processor, etc.) 601 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data necessary for the operation of the electronic apparatus 600 are also stored. The processing device 601, the ROM 602, and the RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
Generally, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, or the like; output devices 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, tape, hard disk, etc.; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 illustrates an electronic device 600 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 6 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 609, or installed from the storage device 608, or installed from the ROM 602. The computer program, when executed by the processing device 601, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: in response to the fact that target single-scene behavior information included in target scene behavior information of a user meets a first preset condition, sending first warning information corresponding to the target single-scene behavior information to equipment associated with the user, wherein the target single-scene behavior information comprises target scene behavior times and user behavior types; generating a target score of the user in a preset time period based on the user behavior type, a preset score configuration information set and a historical score included by the target scene behavior information; and in response to the fact that the target score and the target scene behavior times meet a second preset condition, carrying out constraint processing on the account of the user.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, which may be described as: a processor includes a transmitting unit, a generating unit, and a processing selecting unit. The names of these units do not form a limitation on the units themselves in some cases, for example, the generating unit may also be described as a "unit that generates a target score of the user in a preset time period based on the user behavior type, the preset score configuration information set, and the historical score included in the target scene behavior information".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems on a chip (SOCs), complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combinations of the above-mentioned features, and other embodiments in which the above-mentioned features or their equivalents are combined arbitrarily without departing from the spirit of the invention are also encompassed. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (8)
1. A user account processing method, comprising:
in response to the fact that target single-scene behavior information included in target scene behavior information of a user meets a first preset condition, sending first warning information corresponding to the target single-scene behavior information to equipment associated with the user, wherein the target single-scene behavior information comprises target scene behavior times and user behavior types;
generating a target score of the user in a preset time period based on the user behavior type, a preset score configuration information set and a historical score included by the target scene behavior information, wherein the historical score is the sum of scores corresponding to all illegal behaviors generated by the user in the preset time period;
in response to determining that the target score and the target scene behavior times meet a second predetermined condition, performing constraint processing on the account of the user, wherein the performing constraint processing on the account of the user includes:
in response to the target score being within a first predetermined score interval, performing a ban on the user's account;
in response to the target score being within a second predetermined score interval, performing a plaster-forbidding process on the account of the user;
in response to the target score being within a third predetermined score interval, performing a login process on the account of the user;
the target scene behavior information further comprises target multi-scene behavior information, and the target multi-scene behavior information comprises a multi-scene accumulated target score, wherein the target multi-scene behavior information is information related to violation behaviors of the user in other service scenes in a service scene set; and the method further comprises:
and determining the sum of the target score and the multi-scene accumulated target score as a multi-scene target score.
2. The method of claim 1, wherein prior to the processing of the restrictions on the user's account, the method further comprises:
and acquiring a preset constraint duration configuration information set.
3. The method of claim 2, wherein said constraining the user's account comprises:
determining preset constraint duration configuration information corresponding to the target score in the preset constraint duration configuration information set as target configuration information;
and performing constraint processing on the account of the user based on the target configuration information.
4. The method of claim 3, wherein the target multi-scenario behavior information further comprises accumulating a second number of alerts; and
the method further comprises the following steps:
and in response to determining that the accumulated second warning times meet a third predetermined condition, performing constraint processing on the account of the user.
5. The method of claim 4, wherein the sending second warning information corresponding to the target scene behavior information to a device associated with the user comprises:
and updating the accumulated second warning times.
6. A user account processing apparatus comprising:
a sending unit configured to send first warning information corresponding to target single scene behavior information to a device associated with a user in response to determining that the target single scene behavior information included in the target single scene behavior information of the user satisfies a first predetermined condition, wherein the target single scene behavior information includes a target scene behavior number and a user behavior type;
the generating unit is configured to generate a target score of the user in a preset time period based on the user behavior type, a preset score configuration information set and a historical score included by the target scene behavior information, wherein the historical score is the sum of scores corresponding to various illegal behaviors generated by the user in the preset time period;
a processing unit configured to perform constraint processing on the account of the user in response to determining that the target score and the target scene behavior times satisfy a second predetermined condition, wherein the constraint processing on the account of the user includes:
in response to the target score being within a first predetermined score interval, performing a ban on the user's account;
in response to the target score being within a second predetermined score interval, performing a paste-disabling process on the account of the user;
in response to the target score being within a third predetermined score interval, performing a log-off process on the account of the user;
the target scene behavior information further comprises target multi-scene behavior information, and the target multi-scene behavior information comprises a multi-scene accumulated target score, wherein the target multi-scene behavior information is information related to violation behaviors of the user in other service scenes in a service scene set; and the apparatus further comprises:
a determining unit configured to determine a sum of the target score and the multi-scene cumulative target score as a multi-scene target score.
7. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
8. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011607437.3A CN112651013B (en) | 2020-12-29 | 2020-12-29 | User account processing method and device, electronic equipment and computer readable medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011607437.3A CN112651013B (en) | 2020-12-29 | 2020-12-29 | User account processing method and device, electronic equipment and computer readable medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112651013A CN112651013A (en) | 2021-04-13 |
| CN112651013B true CN112651013B (en) | 2023-03-31 |
Family
ID=75364130
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011607437.3A Active CN112651013B (en) | 2020-12-29 | 2020-12-29 | User account processing method and device, electronic equipment and computer readable medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112651013B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107807942A (en) * | 2016-09-09 | 2018-03-16 | 腾讯科技（深圳）有限公司 | Comment information presentation method and device |
| CN111800513A (en) * | 2020-07-09 | 2020-10-20 | 北京字节跳动网络技术有限公司 | Method and device for pushing information and computer readable medium of electronic equipment |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8296373B2 (en) * | 2007-02-02 | 2012-10-23 | Facebook, Inc. | Automatically managing objectionable behavior in a web-based social network |
| CN108682413B (en) * | 2018-04-24 | 2020-09-29 | 上海师范大学 | Emotion persuasion system based on voice conversion |
| CN110889106B (en) * | 2018-09-11 | 2024-08-16 | 京东科技控股股份有限公司 | Configuration method, device, system and computer readable storage medium |
| CN109460998A (en) * | 2018-09-27 | 2019-03-12 | 珠海横琴现联盛科技发展有限公司 | Identity identifying method is pressed in the touching of screen fingerprint |
| CN109831698B (en) * | 2018-12-28 | 2021-07-23 | 广州华多网络科技有限公司 | Information auditing method and device, electronic equipment and computer readable storage medium |
| CN110674222B (en) * | 2019-10-08 | 2021-08-13 | 腾讯科技（深圳）有限公司 | Data sharing method, device, equipment and medium |
| CN111918039B (en) * | 2020-08-13 | 2022-12-09 | 智点恒创(苏州)智能科技有限公司 | Artificial intelligence high risk operation management and control system based on 5G network |
-
2020
- 2020-12-29 CN CN202011607437.3A patent/CN112651013B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107807942A (en) * | 2016-09-09 | 2018-03-16 | 腾讯科技（深圳）有限公司 | Comment information presentation method and device |
| CN111800513A (en) * | 2020-07-09 | 2020-10-20 | 北京字节跳动网络技术有限公司 | Method and device for pushing information and computer readable medium of electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112651013A (en) | 2021-04-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110390493B (en) | Task management method and device, storage medium and electronic equipment | |
| CN109274692B (en) | Method and device for identifying malicious nodes of block chain network | |
| CN112434620B (en) | Scene text recognition method, device, equipment and computer readable medium | |
| CN112311841A (en) | Information pushing method and device, electronic equipment and computer readable medium | |
| EP3289504B1 (en) | Digital rights list for device groups | |
| CN110781373A (en) | List updating method and device, readable medium and electronic equipment | |
| CN114154958A (en) | Information processing method, device, electronic equipment and storage medium | |
| CN113760536A (en) | Data caching method and device, electronic equipment and computer readable medium | |
| CN112416632A (en) | Event communication method and device, electronic equipment and computer readable medium | |
| CN112651013B (en) | User account processing method and device, electronic equipment and computer readable medium | |
| CN110059064B (en) | Log file processing method and device and computer readable storage medium | |
| CN103765431A (en) | Content handling for applications | |
| CN114257870A (en) | Short video playing method, device, equipment and storage medium | |
| CN110705635B (en) | Method and apparatus for generating an isolated forest | |
| CN113094002A (en) | Message processing method and device, electronic equipment and computer medium | |
| KR102004503B1 (en) | Notification method about game, client, server and iot apparatus for performing the method | |
| CN110933122B (en) | Method, apparatus and computer storage medium for managing server | |
| CN114745276B (en) | Switch bandwidth adjusting method and device, electronic equipment and computer readable medium | |
| CN110960857A (en) | Game data monitoring method and device, electronic equipment and storage medium | |
| CN112333045A (en) | Intelligent flow baseline learning method, equipment and computer readable storage medium | |
| CN112203103A (en) | Message processing method and device, electronic equipment and computer readable storage medium | |
| CN116527284B (en) | Data storage security determination method, device, equipment and storage medium | |
| CN113096298B (en) | Network voting method and device | |
| CN114124533B (en) | Data interception method, device, electronic equipment and computer readable medium | |
| CN113852484B (en) | Terminal equipment network distribution method, device, electronic equipment and computer readable medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |