CN111241393A - Message pushing method and device, electronic equipment and readable storage medium - Google Patents
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Abstract
The application provides a message pushing method, a message pushing device, an electronic device and a readable storage medium, and the message pushing method comprises the following steps: receiving operation behavior data of all network users in each first time period; for each first time period, calculating an operation behavior reference value corresponding to the first time period according to the operation behavior data corresponding to the first time period; sequencing the first time periods corresponding to the operation behavior reference values according to the descending order of the operation behavior reference values; and setting a corresponding push cycle for each first time period according to the sorting sequence of the first time periods and the corresponding relation between the preset sequence and the push cycle. By respectively setting respective pushing cycles for different time periods, the pushing cycle of the time period with more operation behavior data of the users in the whole network can be shorter; therefore, the user can receive the push information as much as possible in the time period of expecting to receive the push, and the problems of resource waste and interference to the user are avoided.
Description
Technical Field
The present application relates to the field of information retrieval technologies, and in particular, to a message pushing method, an apparatus, an electronic device, and a readable storage medium.
Background
In order to improve the efficiency of knowing the source, a truck driver usually subscribes information related to the source on a delivery platform, and a holder of the source also publishes the held source on the delivery platform.
However, in the prior art, the delivery platform often pushes the source information to the users (including the truck driver and the source holder) according to a fixed pushing period, and pushes the messages to the users at an inappropriate time, which not only causes a great waste of resources, but also causes harassment to the users, thereby reducing the viscosity of the users to the delivery platform.
Disclosure of Invention
An object of the embodiments of the present application is to provide a message pushing method, an apparatus, an electronic device, and a readable storage medium, so as to solve the problems of resource waste and interference to a user in the prior art.
In a first aspect, an embodiment of the present application provides a message pushing method, which receives operation behavior data of a full-network user in each of a plurality of first time periods; for each first time period in the plurality of first time periods, calculating an operation behavior reference value corresponding to the first time period according to the operation behavior data corresponding to the first time period; sequencing the first time periods corresponding to the operation behavior reference values according to the descending order of the operation behavior reference values; and setting a corresponding push cycle for each first time period according to the sequencing sequence of the first time periods and the corresponding relation between the preset sequence and the push cycle, wherein the push cycle is a time interval of message push.
In the above embodiment, for each time slot, the operation behavior data of the network-wide users in the time slot is acquired; then calculating an operation behavior reference value corresponding to the operation behavior data of each time period; sequencing the time periods respectively according to the operation behavior reference values; and then setting a corresponding push cycle of each time period in the plurality of time periods according to the specific sorting sequence. By respectively setting respective pushing cycles for different time periods, the pushing cycle of the time period with more operation behavior data of the users in the whole network can be shorter; the push cycle of the time period with less operation behavior data of the users in the whole network is longer, so that the users can receive the push information as much as possible in the time period expected to receive the push, and can receive the push information as little as possible in the time period not expected to receive the push, thereby avoiding the problems of resource waste and interference to the users.
In one possible design, the receiving operation behavior data of the network-wide user in each of the plurality of first time periods includes: the keyword search amount, the search result browsing amount and the inquiry call making amount of the whole network user in each first time period in the plurality of first time periods are received.
In the above-described embodiment, the operation behavior data includes the keyword search amount, the search result browsing amount, and the inquiry call making amount of the network-wide user. The operational behavior data may include other data in addition to the data described above, and the particular type of data included in the operational behavior data should not be construed as limiting the application.
In one possible design, the operation behavior data includes at least one of a keyword search amount, a search result browsing amount and a telephone number calling amount; the calculating the operation behavior reference value corresponding to the first time period according to the operation behavior data corresponding to the first time period includes: and calculating an operation behavior reference value corresponding to a first time period according to each data item in the operation behavior data and the weight thereof.
In the above embodiment, the weights corresponding to different operation behavior data types and representing the interest of the user are different, so that the product of each operation behavior data type and each weight can be obtained first, and the sum of multiple products can be calculated, and the sum is recorded as the operation behavior reference value of the corresponding time period, so that the user activity condition of each time period can be calculated more accurately, and the operation behavior reference value has a higher reference value.
In a possible design, after the setting of the corresponding push cycle for each first time period according to the sorting order of the first time periods and the preset correspondence between the order and the push cycle, the method further includes: acquiring operation behavior data of the target user on each cargo in the multiple cargos in a second time period according to the user identity; calculating an operation behavior reference value corresponding to each cargo according to the operation behavior data; sorting the goods corresponding to the operation behavior reference values according to the sequence of the operation behavior reference values from large to small; and pushing corresponding goods information to the target user according to the pushing period and the sorting of the goods.
In the above embodiment, for a certain user, the operation behavior data of the user for each kind of goods may be obtained according to the user identity, and the operation behavior reference value of each kind of goods may be calculated, so that each kind of goods is sorted according to the operation behavior reference value, so as to push goods information related to goods sorting to the user according to the sorting order. Goods can be sorted, commodities related to sorting are pushed to a user, and reliability of pushing information and the interest degree of the user in the pushing information are improved.
In a possible design, the pushing, according to the pushing period and the ordering of the goods, the corresponding goods information to the target user includes: acquiring goods ranked at the top N positions; and randomly pushing one of the front N cargos to the target user according to the pushing period.
In the above embodiment, the goods sorted at the top N bits may be obtained, and then, each time the goods is pushed to the corresponding user, a random one of the goods sorted at the top N bits may be pushed. The goods are sorted in the top N positions, the interest degree of the corresponding user on the goods can be determined, one kind of goods in the top N positions can be randomly pushed, the coverage of push information can be well realized, and the situation that the user feels dull due to the fact that the user guesses the goods types to be pushed in advance is avoided.
In a second aspect, an embodiment of the present application provides a message pushing apparatus, which is applied to a server, and the apparatus includes: the operation behavior receiving module is used for receiving operation behavior data of the users in the whole network in each first time period in a plurality of first time periods; the first reference calculation module is used for calculating an operation behavior reference value corresponding to a first time period according to the operation behavior data corresponding to the first time period for each first time period in the plurality of first time periods; the first reference sorting module is used for sorting the first time periods corresponding to the operation behavior reference values according to the descending order of the operation behavior reference values; and the pushing period setting module is used for setting a corresponding pushing period for each first time period according to the sorting sequence of the first time periods and the corresponding relation between the preset sequence and the pushing period, wherein the pushing period is a time interval of message pushing.
In one possible design, the operation behavior receiving module is specifically configured to receive a keyword search amount, a search result browsing amount, and a call-to-ask call amount of the network-wide user in each of a plurality of first time periods.
In one possible design, the first reference calculation module is specifically configured to calculate an operation behavior reference value corresponding to a first time period according to each data item in the operation behavior data and the weight thereof.
In one possible design, the apparatus further includes: the goods operation data module is used for acquiring operation behavior data of the target user on each kind of goods in the plurality of kinds of goods in a second time period according to the user identity; the cargo reference value calculating module is used for calculating the operation behavior reference value corresponding to each cargo according to the operation behavior data; the goods sorting module is used for sorting the goods corresponding to the operation behavior reference values according to the descending order of the operation behavior reference values; and the goods pushing module is used for pushing corresponding goods information to the target user according to a pushing period and the sorting of the goods.
In one possible design, the goods pushing module is specifically configured to obtain goods ranked at the top N positions; and randomly pushing one of the front N cargos to the target user according to the pushing period.
In a fourth aspect, an embodiment of the present application provides an electronic device, including the method in the first aspect or any optional implementation manner of the first aspect.
In a fifth aspect, the present application provides a readable storage medium having stored thereon an executable program which, when executed by a processor, performs the method of the first aspect or any of the optional implementations of the first aspect.
In a sixth aspect, the present application provides an executable program product which, when run on a computer, causes the computer to perform the method of the first aspect or any possible implementation manner of the first aspect.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 shows a flow chart of a message pushing method provided by an embodiment of the present application;
fig. 2 is a flowchart illustrating a part of steps of a message pushing method provided by an embodiment of the present application;
fig. 3 is a flowchart illustrating a specific step of step S240 in fig. 2;
fig. 4 shows a schematic structural block diagram of a message pushing apparatus provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
Referring to fig. 1, fig. 1 shows a message pushing method provided in an embodiment of the present application, where the method may be executed by a server, and the method specifically includes the following steps S110 to S140:
step S110, receiving operation behavior data of the network-wide user in each of the plurality of first time periods.
The first time period may be a time interval with a certain fixed time length, alternatively, the first time period may be 1 hour, and the plurality of first time periods may be one day, that is, the operation behavior data of the whole network user per hour in one day (in 24 hours) may be received.
The operation behavior data is data reflecting operation behaviors performed by the user, and optionally, the operation behavior data includes at least one of a keyword search amount, a search result browsing amount, and a call inquiry call amount.
Optionally, step S110 specifically includes: the keyword search amount, the search result browsing amount and the inquiry call making amount of the whole network user in each first time period in the plurality of first time periods are received.
The operation behavior data comprises the keyword search amount, the search result browsing amount and the inquiry call making amount of the network-wide user. The operational behavior data may include other data in addition to the data described above, and the particular type of data included in the operational behavior data should not be construed as limiting the application.
Step S120, for each of the plurality of first time periods, calculating an operation behavior reference value corresponding to the first time period according to the operation behavior data corresponding to the first time period.
Optionally, step S120 specifically includes: and calculating an operation behavior reference value corresponding to a first time period according to each data item in the operation behavior data and the weight thereof.
The weight may represent the degree of interest of the user, and if the weight corresponding to the keyword search volume is not set to be a, the weight corresponding to the search result browsing volume is set to be b, and the weight corresponding to the call quantity of the inquiry call is set to be c, then the operation behavior reference value in a certain first time period is a × keyword search volume + b × search result browsing volume + c × call quantity of the inquiry call. The call inquiry quantity is generally considered to be more interesting than the keyword search quantity or the search result browsing quantity, so the specific value of c can be more than a or b. Alternatively, a may be 0.25; b may be 0.35 and c may be 0.4. It should be understood that a, b, c may be other values, and the specific values of a, b, c should not be construed as limiting the application.
The weights corresponding to different operation behavior data types and representing the interest of the user are different, so that the product of each operation behavior data type and each weight can be obtained firstly, the sum of a plurality of products is calculated, and the sum is recorded as the operation behavior reference value of the corresponding time period, so that the user activity condition of each time period can be calculated more accurately, and the operation behavior reference value has more reference value.
Step S130, sorting the first time periods corresponding to the operation behavior reference values according to the descending order of the operation behavior reference values.
After the operation behavior reference value of each of the plurality of first time periods is calculated, the first time periods corresponding to the operation behavior reference values may be sorted in order of the operation behavior reference values from large to small.
Step S140, setting a corresponding push cycle for each first time period according to the sorting order of the first time periods and the corresponding relationship between the preset order and the push cycle, where the push cycle is a time interval of message push.
The correspondence between the sequence and the push cycle may be preset, for example, the correspondence between the sequencing sequence of the first time period and the push cycle is not set as:
the pushing period of the first time period of ranking 1 bit is N1 seconds;
the pushing period of the first time period of the rank 2 is N2 seconds;
the pushing period of the first time period of the ranking 3 is N3 seconds;
…
the pushing period of the first time period of the rank i bit is Ni seconds.
Wherein i is a positive integer.
For each time period, acquiring operation behavior data of the whole network user in the time period; then calculating an operation behavior reference value corresponding to the operation behavior data of each time period; sequencing the time periods respectively according to the operation behavior reference values; and then setting a corresponding push cycle of each time period in the plurality of time periods according to the specific sorting sequence. By respectively setting respective pushing cycles for different time periods, the pushing cycle of the time period with more operation behavior data of the users in the whole network can be shorter; the push cycle of the time period with less operation behavior data of the users in the whole network is longer, so that the users can receive the push information as much as possible in the time period expected to receive the push, and can receive the push information as little as possible in the time period not expected to receive the push, thereby avoiding the problems of resource waste and interference to the users.
Optionally, referring to fig. 2, after step S140, the message pushing method provided in the embodiment of the present application further includes steps S210 to S240 as follows:
step S210, according to the user identity, obtaining the operation behavior data of the target user on each cargo in the multiple cargos in the second time period.
The second time period may be a shorter time period reflecting the user's interest level in a certain cargo type in a short period, for example, the second time period may be the same as the first time period, and is an hour; the second time period may also be a longer time period reflecting the user's interest level in a certain type of goods over a longer period of time, for example the second time period may be a week or a month.
The operational behavior data may include the amount of keyword searches, the amount of search result browsing, and the amount of telephone calls to be asked.
Step S220, calculating an operation behavior reference value corresponding to each cargo according to the operation behavior data.
The calculation method of the operation behavior reference value may be the same as the above calculation method, except that the operation behavior data corresponding to each of the multiple goods in which the target user is interested is calculated.
For example, the user has an over-operation behavior on m kinds of goods in the second time period, and therefore, there is a corresponding operation behavior for each kind of goods of m kinds of goods, so that an operation behavior reference value corresponding to each kind of goods of m kinds of goods can be calculated.
And step S230, sorting the goods corresponding to the operation behavior reference values according to the descending order of the operation behavior reference values.
After the operation behavior reference value of each of the m kinds of cargos is calculated, the cargos corresponding to the operation behavior reference value may be sorted in the order of the operation behavior reference value from large to small.
And step S240, pushing corresponding cargo information to the target user according to the pushing period and the cargo sequencing.
For a specific user, the operation behavior data of the user on each kind of goods can be obtained according to the user identity, and the operation behavior reference value of each kind of goods is calculated, so that each kind of goods is sorted according to the operation behavior reference value, and the goods information related to goods sorting is pushed to the user according to the sorting sequence. Goods can be sorted, commodities related to sorting are pushed to a user, and reliability of pushing information and the interest degree of the user in the pushing information are improved.
Optionally, referring to fig. 3, the step S240 specifically includes the following steps S241 to S242:
step S241, the top N-digit goods are obtained.
Step S242, randomly pushing one of the top N pieces of goods to the target user according to the pushing period.
The goods sorted at the top N positions can be obtained, and then random one of the goods sorted at the top N positions is pushed each time when the goods are pushed to the corresponding user. The goods are sorted in the top N positions, the interest degree of the corresponding user on the goods can be determined, one kind of goods in the top N positions can be randomly pushed, the coverage of push information can be well realized, and the situation that the user feels dull due to the fact that the user guesses the goods types to be pushed in advance is avoided.
Referring to fig. 4, fig. 4 illustrates a message pushing apparatus provided in an embodiment of the present application, where the apparatus 400 includes:
an operation behavior receiving module 410, configured to receive operation behavior data of the network-wide user in each of the plurality of first time periods.
The first reference calculating module 420 is configured to calculate, for each of the plurality of first time periods, an operation behavior reference value corresponding to the first time period according to the operation behavior data corresponding to the first time period.
The first reference sorting module 430 is configured to sort the first time periods corresponding to the operation behavior reference values according to a descending order of the operation behavior reference values.
A push cycle setting module 440, configured to set a corresponding push cycle for each first time period according to a sorting order of the first time periods and a correspondence between a preset order and the push cycle, where the push cycle is a time interval of message pushing.
The operation behavior receiving module 410 is specifically configured to receive a keyword search amount, a search result browsing amount, and an inquiry call making amount of the full-network user in each of a plurality of first time periods.
The first reference calculating module 420 is specifically configured to calculate an operation behavior reference value corresponding to a first time period according to each data item in the operation behavior data and the weight thereof.
The device further comprises:
and the cargo operation data module is used for acquiring the operation behavior data of the target user on each cargo in the multiple cargos in the second time period according to the user identity.
And the cargo reference value calculating module is used for calculating the operation behavior reference value corresponding to each cargo according to the operation behavior data.
And the goods sorting module is used for sorting the goods corresponding to the operation behavior reference values according to the descending order of the operation behavior reference values.
And the goods pushing module is used for pushing corresponding goods information to the target user according to a pushing period and the sorting of the goods.
The goods pushing module is specifically used for acquiring goods sequenced at the front N positions; and randomly pushing one of the front N cargos to the target user according to the pushing period.
The message pushing apparatus shown in fig. 4 corresponds to the message pushing method shown in fig. 1, and is not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A message pushing method is applied to a server, and the method comprises the following steps:
receiving operation behavior data of the users in the whole network in each first time period in a plurality of first time periods;
for each first time period in the plurality of first time periods, calculating an operation behavior reference value corresponding to the first time period according to the operation behavior data corresponding to the first time period;
sequencing the first time periods corresponding to the operation behavior reference values according to the descending order of the operation behavior reference values;
and setting a corresponding push cycle for each first time period according to the sequencing sequence of the first time periods and the corresponding relation between the preset sequence and the push cycle, wherein the push cycle is a time interval of message push.
2. The method of claim 1, wherein receiving operational behavior data of the network-wide user for each of the plurality of first time periods comprises:
the keyword search amount, the search result browsing amount and the inquiry call making amount of the whole network user in each first time period in the plurality of first time periods are received.
3. The method of claim 1, wherein the operational behavior data includes at least one of an amount of keyword searches, an amount of search result browsing, and an amount of telephone calls placed;
the calculating the operation behavior reference value corresponding to the first time period according to the operation behavior data corresponding to the first time period includes:
and calculating an operation behavior reference value corresponding to a first time period according to each data item in the operation behavior data and the weight thereof.
4. The method according to claim 1, wherein after the setting of the corresponding push cycle for each first time period according to the sorting order of the first time periods and the preset corresponding relationship between the order and the push cycle, the method further comprises:
acquiring operation behavior data of the target user on each cargo in the multiple cargos in a second time period according to the user identity;
calculating an operation behavior reference value corresponding to each cargo according to the operation behavior data;
sorting the goods corresponding to the operation behavior reference values according to the sequence of the operation behavior reference values from large to small;
and pushing corresponding goods information to the target user according to the pushing period and the sorting of the goods.
5. The method of claim 4, wherein the pushing the corresponding cargo information to the target user according to the pushing period and the ordering of the cargo comprises:
acquiring goods ranked at the top N positions;
and randomly pushing one of the front N cargos to the target user according to the pushing period.
6. A message pushing apparatus, applied to a server, the apparatus comprising:
the operation behavior receiving module is used for receiving operation behavior data of the users in the whole network in each first time period in a plurality of first time periods;
the first reference calculation module is used for calculating an operation behavior reference value corresponding to a first time period according to the operation behavior data corresponding to the first time period for each first time period in the plurality of first time periods;
the first reference sorting module is used for sorting the first time periods corresponding to the operation behavior reference values according to the descending order of the operation behavior reference values;
and the pushing period setting module is used for setting a corresponding pushing period for each first time period according to the sorting sequence of the first time periods and the corresponding relation between the preset sequence and the pushing period, wherein the pushing period is a time interval of message pushing.
7. The apparatus of claim 6,
the operation behavior receiving module is specifically configured to receive a keyword search amount, a search result browsing amount, and an inquiry call making amount of the full-network user in each of a plurality of first time periods.
8. The apparatus of claim 6,
the first reference calculation module is specifically configured to calculate an operation behavior reference value corresponding to a first time period according to each data item in the operation behavior data and the weight thereof.
9. An electronic device, comprising: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating over the bus when the electronic device is operating, the processor executing the machine-readable instructions to perform the method of any one of claims 1-5 when executed.
10. A readable storage medium, having stored thereon a computer program which, when executed by a processor, performs the method of any one of claims 1-5.
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| CN104462578A (en) * | 2014-12-29 | 2015-03-25 | 北京邮电大学 | News pushing method |
| WO2016107354A1 (en) * | 2014-12-29 | 2016-07-07 | 北京奇虎科技有限公司 | Method and apparatus for providing user personalised resource message pushing |
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| CN109040325A (en) * | 2018-10-31 | 2018-12-18 | 广州品唯软件有限公司 | A kind of control method, device, equipment and the medium of information push |
| CN110223113A (en) * | 2019-05-28 | 2019-09-10 | 上海易点时空网络有限公司 | The data processing method and device of advertisement pushing |
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