CN110035393A - The recognition methods of mobile terminal relationship - Google Patents
The recognition methods of mobile terminal relationship Download PDFInfo
- Publication number
- CN110035393A CN110035393A CN201910322003.XA CN201910322003A CN110035393A CN 110035393 A CN110035393 A CN 110035393A CN 201910322003 A CN201910322003 A CN 201910322003A CN 110035393 A CN110035393 A CN 110035393A
- Authority
- CN
- China
- Prior art keywords
- mobile terminal
- preset time
- information
- time period
- period
- 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.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/535—Tracking the activity of the user
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/16—Discovering, processing access restriction or access information
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Security & Cryptography (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The present invention relates to a kind of recognition methods of mobile terminal relationship, server can obtain the information { I of M mobile terminal1,I2,…,IM, wherein IiIt is geographical location information and network connection information of i-th of mobile terminal in N number of preset time period.It the described method comprises the following steps: S100, the information I for comparing any two mobile terminalmAnd In, statistics, which is succeeded, matches total degree Cm,n, wherein m=1 ... M, n=1 ... M, m ≠ n, k=1 ... N；If S200, Cm,n>=D1, then it is determined that m-th of mobile terminal and n-th of mobile terminal have preset relation, wherein D1 is first threshold.Through the invention, server automatically identifies the mobile terminal with incidence relation, and the incidence relation result of obtained mobile terminal is more accurate and stable.The incidence relation information for the mobile terminal that server saves is applied to types of applications, meets users ' individualized requirement.
Description
Technical field
The present invention relates to the recognition methods of incidence relation between mobile terminal Attribute Recognition more particularly to mobile terminal.
Background technique
With the rapid development of mobile terminal and the communication technology, more and more users get used to by using mobile terminal
In APP meet the various demands in Working Life, a user even carries simultaneously simultaneously uses multiple mobile terminals.It is many
APP and service provider need to collect the attribute information of mobile terminal, to provide the service for meeting users ' individualized requirement.Its
In, incidence relation between mobile terminal can provide a user more preferable as the dimension that terminal attribute and user are drawn a portrait
Service, such as associated multiple mobile terminals push identical message or provide identical application and service to each other, two
Message is transmitted between person, and the attribute etc. an of mobile terminal is determined according to the attribute of associated mobile terminal.But this field is also
A kind of technical solution participating in without user, can identifying relationship between mobile terminal automatically and accurately is not provided.
Summary of the invention
In order to solve the above technical problems, being applied to service the invention proposes a kind of recognition methods of mobile terminal relationship
Device, which is characterized in that server can obtain the information { I of M mobile terminal1,I2,…,IM, wherein IiIt is mobile whole i-th
The information at end includes at least (GIi, NIi), GIiIt is geographical location information of i-th of mobile terminal in N number of preset time period, GIi
={ GIi,1,GIi,2,…,GIi,N, wherein GIi,jIt is geographical location information of i-th of mobile terminal in j-th of preset time period,
NIiIt is network connection information of i-th of mobile terminal in N number of preset time period, NIi={ NIi,1,NIi,2,…,NIi,N, wherein
NIi,jNetwork connection information including i-th of mobile terminal in j-th of preset time period, i=1 ... M, j=1 ... N；
It the described method comprises the following steps:
S100, the information I for comparing any two mobile terminalmAnd In, for k-th of preset time period, if GIm,kWith
GIn,kMatching, and/or, NIm,kWith NIn,kMatching, then statistics is a successful match, final statistics, which is succeeded, to be matched total time
Number Cm,n, wherein m=1 ... M, n=1 ... M, m ≠ n, k=1 ... N；
If S200, Cm,n>=D1, then it is determined that m-th of mobile terminal and n-th of mobile terminal have the first relationship,
In, D1 is first threshold.
Through the invention, server passes through the geographical location information and network connection information for the multiple mobile terminals collected,
The mobile terminal with incidence relation is automatically identified, and these two types of information be combined with each other reference, in a biggish time
It is for statistical analysis in window, so that finally judging that the incidence relation result of obtained mobile terminal is more accurate and stablizes.Clothes
The incidence relation information for the mobile terminal that business device saves, is applied to types of applications, meets users ' individualized requirement.
Detailed description of the invention
Fig. 1 is the flow chart of the recognition methods of mobile terminal relationship of the invention.
Fig. 2 is the flow chart of the matched method of geographical location information of mobile terminal preset time period of the invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, the present invention will be made further in conjunction with attached drawing
Detailed description.This description is to describe specific implementation consistent with the principles of the present invention by way of example, and not limitation
Mode, the description of these embodiments is detailed enough, so that those skilled in the art can practice the present invention, is not being taken off
Other embodiments can be used in the case where from scope and spirit of the present invention and can change and/or replace each element
Structure.Therefore, the following detailed description should not be understood from restrictive sense.
The present invention provides a kind of recognition methods of mobile terminal relationship.According to the present invention, server can be with physics realization
For a server, also can be implemented as include multiple servers server farm；Mobile terminal can be using physics realization as intelligence
Energy mobile phone, PAD, laptop etc. can install any mobile terminal of application program (such as APP).Those skilled in the art
Know, the parameters such as model, specification of server and mobile terminal have no effect on protection scope of the present invention.
The SDK integrated in mobile terminal periodically or by event-driven connects to collect mobile terminal geographic position information and network
Information is connect, then generate data packet together with current time and is sent to server；Wherein, geographical location information, such as GPS number
According to (such as latitude and longitude coordinates data), bluetooth, WiFi location information etc.；Network connection information include terminal connected at that time and/
Or the information of the WiFi access point scanned, the information of each WiFi access point include at least the MAC Address of WiFi access point, also
It may include WiFi signal intensity, network name etc..
Server receives the information of a mobile terminal reporting, and is handled, comprising: the GPS number reported according to terminal
It carries out positioning and determining that terminal geographic position data, position data can be latitude and longitude coordinates data according to, WiFi network information etc.,
The cryptographic Hash (such as GeoHash value) preferably generated according to latitude and longitude coordinates data；Position data is merged and is filled out
It fills, when the geographic position data of the terminal reported twice in succession indicates same position, it is believed that terminal is in this double sampling time
Between period in be also at the position, thus the position data of the period is filled, is merged, by this period
Be associated with the position, after final constantly merging treatment, server obtains and store the mobile terminal successive multiple periods and
The incidence relation of location data of terminals, for example, certain day period 1:9:00AM~11:00AM, corresponding position A, period 2:11:
10AM~13:00PM, corresponding position B, period 3:13:30PM~17:00PM, corresponding position A etc., in addition, at the time of having
Position data is not directed toward same position with adjacent position data, then just still storing with after being associated with constantly；Likewise, clothes
Business device is filled and merges for the network connection information for the instruction connection consolidated network that continuous several times report, by the period
The case where being associated with the network, reporting instruction scanning to arrive identical network information continuous several times, can also carry out the letter of period
Breath filling with merge, by the period with scan the network information carry out it is corresponding.Server is gradually collected and is stored a large amount of mobile whole
The information at end can identify the relationship between a large amount of mobile terminals using method of the invention.These data processings use existing
Technology realizes that the present invention is not specifically limited.
According to the present invention, the geographical location according to two mobile terminals in N number of preset time period and network connection information
To determine the relationship of mobile terminal.The preset time period can be the period in the evening, for example, at night 9 points to the next morning 6
Point can be working day daytime period, for example, 9. -12 point of the morning, afternoon, 1. -5 point, can also be other times section.One
In embodiment, user can according to need that the preset time period is arranged, for example, when needing to identify whether two terminals are same
The terminal of one user or the terminal for belonging to household, then preset time period selects a night in time of having a rest, if necessary to identify
Whether two terminals belong to the terminal of colleague, then preset time period selects work hours daytime on working day.In addition, in order to obtain
Accurate recognition result needs to statistically analyze the data of continuous a period of time, for example, continuous N days or continuous N the periods in the evening
A workaday daytime period etc., the quantity of N is specified by user, in preferred embodiment, N 28,90,180 (day).
In a preferred embodiment of the present invention, server can be according to continuous N days geographical locations of two mobile terminals
The preset time period is set with network connection information, for example, when server judges two mobile terminals once at one or more
After a is sometime in same geographical location or the connection same WiFi period in the evening, preset time period can be set as at night
Period, it is therefore an objective to identify whether two terminals are the terminal of same user or the terminal for belonging to household；If it is determined that two movements
Terminal once after one or more daytime periods are sometime in same geographical location or the same WiFi of connection, can be set
Preset time period is daytime period, it is therefore an objective to identify whether two terminals belong to the terminal of colleague.
According to the present invention, server can obtain the information { I of M mobile terminal1,I2,…,IM, wherein IiIt is i-th
The information of mobile terminal includes at least (GIi, NIi), GIiIt is that i-th of mobile terminal is believed in the geographical location of N number of preset time period
Breath, GIi={ GIi,1,GIi,2,…,GIi,N, wherein GIi,jIt is i-th of mobile terminal in the geographical position of j-th of preset time period
Confidence breath, NIiIt is network connection information of i-th of mobile terminal in N number of preset time period, NIi={ NIi,1,NIi,2,…,
NIi,N, wherein NIi,jNetwork connection information including i-th of mobile terminal in j-th of preset time period, i=1 ... M, j=1 ...
N.Specifically, GIi,jPosition including moment/periods and corresponding i-th of mobile terminal one or more in j-th of period
Set data, NIi,jIncluding moment/periods one or more in j-th of period and corresponding connection/scanning WiFi network
Information.
As shown in Figure 1, server of the invention obtains the information { I of M mobile terminal1,I2,…,IMAfter, it is moved
The identification of dynamic terminal relationship, comprising the following steps:
S100, the information I for comparing any two mobile terminalmAnd In, for k-th of preset time period, if GIm,kWith
GIn,kMatching, and/or, NIm,kWith NIn,kMatching, then statistics is a successful match, final statistics, which is succeeded, to be matched total time
Number Cm,n, wherein m=1 ... M, n=1 ... M, m ≠ n, k=1 ... N；
If S200, Cm,n>=D1, then it is determined that m-th of mobile terminal and n-th of mobile terminal have the first relationship,
In, D1 is first threshold.
In a preferred embodiment of the present invention, preset time period is divided into K sub- periods, each sub- period pair
Answer a score, K >=2.As shown in Fig. 2, GI in S100m,kWith GIn,kMatched deterministic process, is implemented as following steps:
Step a, for the pth sub- period, if GIm,k,pWith GIn,k,pMatching, then ap=1, otherwise ap=0；Its
In, p=1 ... K, GIm,k,pIt is that m-th of mobile terminal is believed in the geographical location of the pth sub- period of k-th of preset time period
Breath, GIn,k,pIn be geographical location information of n-th of mobile terminal in the pth sub- period of k-th of preset time period；
Step b, score is calculatedWherein, gpIt is the score of pth sub- period；
If step c, score G >=D2, then it is determined that GIm,kWith GIn,kMatching, wherein D2 is second threshold.
By step a~step c, server being capable of two mobile terminals of accurate judgement position in a preset time period
Whether match, is conducive to the relationship between two mobile terminals of accurate judgement.
Wherein, user can according to need to divide preset time period, for example, being divided into 3 sections or 4 sections.One preferred
In embodiment, K=4, preset time period is the period in the evening, is divided into 4 sub- periods, that is, 21:00PM~22:59PM,
23:00PM~second day 2:59AM, 3:00AM~4:59AM, 5:00AM~6:59AM.Each period has preset fraction, point
Number is higher, and the expression period is more important for the judgement of relationship between terminal, such as above-mentioned 23:00PM~second day 2:59AM
Score 6, other three period scores be 2, user can according to need that a score (side according to the present invention is arranged
Face, term " score " are construed as or are equal to the meaning of term " weight ").
Further,μ2It is the second preset ratio factor (such as 60%, 70%), D2 can also be
It is rightValue after rounding, or be rule of thumb arranged by user.
In one embodiment of the present of invention, GI in step am,k,pWith GIn,k,pMatched Rule of judgment is: if according to
GIm,k,pWith GIn,k,pDetermine that two mobile terminals are sometime in the same position within P sub- periods, then it is determined that
GIm,k,pWith GIn,k,pMatching.Specifically, server can gradually compare GI according to the time from front to backm,k,pWith GIn,k,p, when
Sometime, when two mobile terminals have position data, just compare whether two position datas are directed toward the same position, i.e., two
Whether a mobile terminal is in the same position.If two position datas are identical or two positions are very close, one
As think that two position datas are directed toward the same positions, server can be according to two position datas (such as latitude and longitude coordinates number
According to) distance between the two is calculated, if distance is less than third threshold value D3 (such as D3 is 10 meters, 20 meters, 50 meters), then two
Position data is directed toward the same position.In another embodiment, mobile terminal locations data are servers according to longitude and latitude data
The cryptographic Hash of calculating, for example, latitude and longitude information to be encoded into the GeoHash value of string format using GeoHash algorithm, therefore
When judging whether two position datas are directed toward the same position, the range accuracy being arranged in conjunction with system is (for example, range accuracy is 20
Rice, 50 meters etc.), the string prefix of the GeoHash value of two position datas is matched (the matched digit of string prefix
More, the range being matched to is closer), if the two matches, two position datas are directed toward the same position.User is according to warp
Test setting range accuracy, threshold value D3 etc..
Certainly, in one embodiment of the present of invention, preset time period can not divide the sub- period, not be segmented score,
GI in S100m,kWith GIn,kMatched deterministic process, is implemented as following steps: if according to GIm,kWith GIn,kDetermine two
Mobile terminal is sometime in the same position in k-th of preset time period, then it is determined that GIm,kWith GIn,kMatching.Its
In, server can judge whether two mobile terminals at certain moment are in the same position using mode described above.This
A embodiment is simple and easy, is conducive to the treatment effeciency for improving mass data analysis.
In one embodiment of the present of invention, NIiIt is the information of i-th of mobile terminal connection WiFi network, that is to say, that move
In dynamic terminal relationship deterministic process, using only the information of mobile terminal connection WiFi as network connection information.Further, it walks
In rapid S100, NIm,kWith NIn,kMatched Rule of judgment is: if NIm,k≠ Null, NIn,k≠ Null, and according to NIm,kWith
NIn,kDetermine that two mobile terminals sometime connect the same WiFi network in k-th of preset time period.Specifically, it services
Device can gradually compare NI according to the time from front to backm,kWith NIn,k, when sometime, two mobile terminals are all connected to
When WiFi network, whether identical just compare the WiFi network that two mobile terminals are connected, such as compares two mobile terminal institutes
Whether the MAC Address for connecting WiFi network is identical, if the MAC Address of connected WiFi network is identical, two mobile whole
End connects the same WiFi network.
In another embodiment, NIiI-th of mobile terminal N number of preset time period connected and scan
The information of WiFi network, that is to say, that in the judgement of mobile terminal relationship, the WiFi network information that terminal connected can be used,
Also the information for the WiFi network that terminal scans can be used as network connection information, it is preferred that preferential using terminal connects
The WiFi network information taken over, in the WiFi network information not connected, but there is scanning to arrive WiFi network information when, just make
Judged with the WiFi network information scanned.Further, in step S100, NIm,kWith NIn,kMatched Rule of judgment is:
If NIm,k≠ Null, NIn,k≠ Null, and according to NIm,kWith NIn,kDetermine two mobile terminals in k-th of preset time period
Sometime connect the same WiFi network or NIm,k≠ Null, NIn,k≠ Null, and according to NIm,kWith NIn,kDetermine two
The WiFi network that mobile terminal sometime scans in k-th of preset time period is identical.Specifically, server can be according to
Time gradually compares NI from front to backm,kWith NIn,k, when sometime, when two mobile terminals are all connected to WiFi network, just
Compare whether the WiFi network that two mobile terminals are connected is identical, such as compares two connected WiFi networks of mobile terminal
MAC Address；If sometime, two mobile terminals are without all connecting WiFi network, but the WiFi network letter for having scanning to arrive
When breath, whether identical just compare the WiFi network that two mobile terminals are scanned, wherein the WiFi network scanned includes one
Or multiple WiFi networks, server can choose scanning that terminal reports to WiFi in the strongest WiFi of signal letter
Breath, or select the information collection of the wherein WiFi network of preset quantity as terminal network link information.Server compares two
When whether the WiFi network that mobile terminal is scanned is identical, the MAC Address of comparing cell one by one, if what two terminals were scanned
There are two groups of scanned WiFi networks of identical WiFi or two terminal identical in WiFi network, it is considered that two
The WiFi network that terminal scans is identical.User can select manner of comparison according to demand, be realized using the prior art,
It repeats no more.
In one embodiment of the present of invention, D1=μ1× N, μ1It is the first preset ratio factor (such as 70%, 80%).Into
One step, D1 can be to μ1Value after × N rounding.User can according to need directly setting D1, or utilize above-mentioned formula,
Select μ1To obtain suitable D1.
In one embodiment of the present of invention, server is in the default pass for obtaining m-th of mobile terminal and n-th of mobile terminal
After system, the relation data is saved, and provide service according to the relation data, for example, moving to m-th of mobile terminal and n-th
Dynamic terminal pushes identical message, provides identical application and service, and one is determined according to the attribute of associated mobile terminal
The attribute etc. of mobile terminal.Because the user of two terminals in life or in work there are substantial connection, may be to being pushed
Information there is identical similar interest, thus above-mentioned push has good effect, also meets the individual demand of user.
In addition, according to disclosed specification of the invention, other realizations of the invention are for those skilled in the art
Significantly.The various aspects of embodiment and/or embodiment can be used for system of the invention individually or with any combination
In method.Specification and example therein should be only be regarded solely as it is exemplary, the actual scope of the present invention and spirit by appended
Claims indicate.
Claims (10)
1. a kind of recognition methods of mobile terminal relationship is applied to server, which is characterized in that server can obtain M shifting
Information { the I of dynamic terminal1,I2,…,IM, wherein IiIt is the information of i-th of mobile terminal, includes at least (GIi, NIi), GIiIt is
Geographical location information of the i mobile terminal in N number of preset time period, GIi={ GIi,1,GIi,2,…,GIi,N, wherein GIi,jIt is
Geographical location information of i-th of mobile terminal in j-th of preset time period, NIiIt is i-th of mobile terminal in N number of preset time
The network connection information of section, NIi={ NIi,1,NIi,2,…,NIi,N, wherein NIi,jIt is pre- at j-th including i-th of mobile terminal
If the network connection information of period, i=1 ... M, j=1 ... N；
It the described method comprises the following steps:
S100, the information I for comparing any two mobile terminalmAnd In, for k-th of preset time period, if GIm,kWith GIn,k?
Match, and/or, NIm,kWith NIn,kMatching, then statistics is a successful match, final statistics, which is succeeded, matches total degree Cm,n,
Wherein, m=1 ... M, n=1 ... M, m ≠ n, k=1 ... N；
If S200, Cm,n>=D1, then it is determined that m-th of mobile terminal and n-th of mobile terminal have preset relation, wherein D1
For first threshold.
2. the recognition methods of mobile terminal relationship according to claim 1, which is characterized in that preset time period is divided into
K sub- periods, each corresponding score of sub- period, K >=2；
GI in S100m,kWith GIn,kMatched deterministic process, is implemented as following steps:
Step a, for the pth sub- period, if GIm,k,pWith GIn,k,pMatching, then ap=1, otherwise ap=0；Wherein, p=
1 ... K, GIm,k,pIt is geographical location information of m-th of mobile terminal in the pth sub- period of k-th of preset time period,
GIn,k,pIn be geographical location information of n-th of mobile terminal in the pth sub- period of k-th of preset time period；
Step b, score is calculatedWherein, gpIt is the score of pth sub- period；
If step c, score G >=D2, then it is determined that GIm,kWith GIn,kMatching, wherein D2 is second threshold.
3. the recognition methods of mobile terminal relationship according to claim 2, which is characterized in that GI in step am,k,pWith
GIn,k,pMatched Rule of judgment is: if according to GIm,k,pWith GIn,k,pDetermine two mobile terminals within P sub- periods
It is sometime in the same position, then it is determined that GIm,k,pWith GIn,k,pMatching.
4. the recognition methods of mobile terminal relationship according to claim 3, which is characterized in that NIiIt is i-th of mobile terminal
In the information for the WiFi network of N number of preset time period connected.
5. the recognition methods of mobile terminal relationship according to claim 4, which is characterized in that in S100, NIm,kWith NIn,k
Matched Rule of judgment is: if NIm,k≠ Null, NIn,k≠ Null, and according to NIm,kWith NIn,kDetermine that two mobile terminals exist
The same WiFi network is sometime connected in k-th of preset time period.
6. the recognition methods of mobile terminal relationship according to claim 3, which is characterized in that NIiIt is i-th of mobile terminal
In the information with the WiFi network scanned of N number of preset time period connected.
7. the recognition methods of mobile terminal relationship according to claim 6, which is characterized in that in S100, NIm,kWith NIn,k
Matched Rule of judgment is: if NIm,k≠ Null, NIn,k≠ Null, and according to NIm,kWith NIn,kDetermine that two mobile terminals exist
The same WiFi network is sometime connected in k-th of preset time period,
Or NIm,k≠ Null, NIn,k≠ Null, and according to NIm,kWith NIn,kDetermine two mobile terminals in k-th of preset time
The WiFi network sometime scanned in section is identical.
8. the recognition methods of mobile terminal relationship according to claim 2, which is characterized in that when preset time period is evening
Section (for example, at night 9 points to 6 points of the next morning), alternatively, working day daytime period is (for example, 9. -12 point of the morning, afternoon 1
Point -5 point).
9. the recognition methods of mobile terminal relationship according to claim 2, which is characterized in that N >=28, D1=μ1× N, μ1
It is the first preset ratio factor (such as 70%, 80%),μ2Be the second preset ratio factor (such as 70%,
80%).
10. the recognition methods of mobile terminal relationship according to claim 1, the method also includes following steps:
S300, according to the preset relation of m-th of mobile terminal and n-th of mobile terminal, to m-th of mobile terminal and/or n-th
Mobile terminal PUSH message.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910322003.XA CN110035393A (en) | 2019-04-22 | 2019-04-22 | The recognition methods of mobile terminal relationship |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910322003.XA CN110035393A (en) | 2019-04-22 | 2019-04-22 | The recognition methods of mobile terminal relationship |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110035393A true CN110035393A (en) | 2019-07-19 |
Family
ID=67239557
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910322003.XA Pending CN110035393A (en) | 2019-04-22 | 2019-04-22 | The recognition methods of mobile terminal relationship |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110035393A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110781370A (en) * | 2019-10-16 | 2020-02-11 | 杭州云深科技有限公司 | Mobile terminal information query method and computer equipment |
| CN111148185A (en) * | 2019-12-11 | 2020-05-12 | 上海众源网络有限公司 | Method and device for establishing user relationship |
| CN112566093A (en) * | 2020-11-13 | 2021-03-26 | 腾讯科技（深圳）有限公司 | Terminal relation identification method and device, computer equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150281910A1 (en) * | 2012-11-08 | 2015-10-01 | Duke University | Unsupervised indoor localization and heading directions estimation |
| CN105392142A (en) * | 2015-12-26 | 2016-03-09 | 魅族科技（中国）有限公司 | Wireless fidelity Wi-Fi access point information storage method and device |
| CN105916116A (en) * | 2016-06-30 | 2016-08-31 | 北京奇虎科技有限公司 | Monitoring method and device based on movement locus information |
| CN108596815A (en) * | 2018-04-08 | 2018-09-28 | 深圳市和讯华谷信息技术有限公司 | User behavior similarity recognition method, system and device based on mobile terminal |
| CN109547931A (en) * | 2019-01-14 | 2019-03-29 | 浙江每日互动网络科技股份有限公司 | Determine the server in mobile terminal location |
-
2019
- 2019-04-22 CN CN201910322003.XA patent/CN110035393A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150281910A1 (en) * | 2012-11-08 | 2015-10-01 | Duke University | Unsupervised indoor localization and heading directions estimation |
| CN105392142A (en) * | 2015-12-26 | 2016-03-09 | 魅族科技（中国）有限公司 | Wireless fidelity Wi-Fi access point information storage method and device |
| CN105916116A (en) * | 2016-06-30 | 2016-08-31 | 北京奇虎科技有限公司 | Monitoring method and device based on movement locus information |
| CN108596815A (en) * | 2018-04-08 | 2018-09-28 | 深圳市和讯华谷信息技术有限公司 | User behavior similarity recognition method, system and device based on mobile terminal |
| CN109547931A (en) * | 2019-01-14 | 2019-03-29 | 浙江每日互动网络科技股份有限公司 | Determine the server in mobile terminal location |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110781370A (en) * | 2019-10-16 | 2020-02-11 | 杭州云深科技有限公司 | Mobile terminal information query method and computer equipment |
| CN111148185A (en) * | 2019-12-11 | 2020-05-12 | 上海众源网络有限公司 | Method and device for establishing user relationship |
| CN112566093A (en) * | 2020-11-13 | 2021-03-26 | 腾讯科技（深圳）有限公司 | Terminal relation identification method and device, computer equipment and storage medium |
| CN112566093B (en) * | 2020-11-13 | 2022-02-01 | 腾讯科技（深圳）有限公司 | Terminal relation identification method and device, computer equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107547633B (en) | User constant standing point processing method and device and storage medium | |
| CN110337059B (en) | Analysis algorithm, server and network system for family relationship of user | |
| Doyle et al. | Population mobility dynamics estimated from mobile telephony data | |
| US9305110B2 (en) | Method and arrangement for supporting analysis of social networks in a communication network | |
| KR20190139130A (en) | Analysis method of fluidized population information capable of providing real-time fluidized population data by pcell algorithm | |
| Shen et al. | BarFi: Barometer-aided Wi-Fi floor localization using crowdsourcing | |
| CN106464706A (en) | Method and system for identifying significant locations through data obtainable from telecommunication network | |
| CN111080501B (en) | Real crowd density space-time distribution estimation method based on mobile phone signaling data | |
| CN109325542A (en) | A kind of electricity exception intelligent identification Method and system based on multistage machine learning | |
| CN105760449B (en) | A kind of cloud method for pushing towards multi-source heterogeneous data | |
| CN110035393A (en) | The recognition methods of mobile terminal relationship | |
| US20130166352A1 (en) | Mobile categorization | |
| Oliveira et al. | Measurement-driven mobile data traffic modeling in a large metropolitan area | |
| Furletti et al. | Use of mobile phone data to estimate mobility flows. Measuring urban population and inter-city mobility using big data in an integrated approach | |
| CN107704868B (en) | User clustering method based on mobile application use behaviors | |
| CN111148018B (en) | Method and device for identifying and positioning regional value based on communication data | |
| Demissie et al. | Inferring origin-destination flows using mobile phone data: A case study of Senegal | |
| Skorin-Kapov et al. | Energy efficient and quality-driven continuous sensor management for mobile IoT applications | |
| CN106951828A (en) | A kind of recognition methods of the urban area functional attributes based on satellite image and network | |
| Bachir et al. | Using mobile phone data analysis for the estimation of daily urban dynamics | |
| US11223566B2 (en) | Cellular network management based on automatic social-data acquisition | |
| Li et al. | Mobile user location prediction based on user classification and markov model | |
| Hess et al. | Exploring communication and mobility behavior of 3G network users and its temporal consistency | |
| CN109857829A (en) | A kind of geographic information data fusion system | |
| Oliveira et al. | Measurement-driven mobile data traffic modeling in a large metropolitan area |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190719 |
|
| RJ01 | Rejection of invention patent application after publication |