CN104573094A - Online account recognizing and matching method - Google Patents
Online account recognizing and matching method Download PDFInfo
- Publication number
- CN104573094A CN104573094A CN201510047747.7A CN201510047747A CN104573094A CN 104573094 A CN104573094 A CN 104573094A CN 201510047747 A CN201510047747 A CN 201510047747A CN 104573094 A CN104573094 A CN 104573094A
- Authority
- CN
- China
- Prior art keywords
- record
- entity people
- network account
- people
- entity
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
Abstract
The invention relates to an online account recognizing and matching method. The method includes the steps of 10, sorting online accounts according to attributes which pre-defined matching rules require; 20, if one online account has all attributes which one matching rule require, serially connecting contents of the attributes of the online account to form an attribute string, and forming a correspondence between the attribute string and a record ID (identifier) of the online account; 30, merging the record IDs corresponding to the same attribute string; 40, broadcasting a record ID which the identifier of one real person has, to the real person, forming a correspondence between the record ID and the identifier of the real person to whom the record ID belongs, merging the identifiers of the real persons corresponding to the same record ID, and subjecting the identifiers of the merged real persons to transitive closure processing to obtain new identifiers of the real persons; 50, repeating the step 40 until that the real persons have no change. The method is applicable to large-scale recognition and matching of online accounts.
Description
Technical field
The present invention relates to technical field of data processing, particularly relate to a kind of network account identification matching process.
Background technology
Along with the development of Internet technology, the account that netizen registers in all kinds of website, application increases fast.Mainstream applications is as QQ, and Taobao, 163 mailboxes, the recruitment of intelligence connection, go where net is almost No. one, staff.The basic document of these accounts and action message contain information that is a large amount of and entity relating to persons, can be described as a data oil field.But, same entity people, data between all kinds of account are separated, same type account (than if any multiple No. QQ) data are also be separated, this causes obstacle to the extraction of data and analysis, if can identify which account belongs to same entity people, data will be made significantly to rise in value.
The difficult point of network account identification is that the data volume of account is very big, between all kinds of account, textural difference is large, account is also among continuous renewal, growth, this also meets the 3V characteristic of large data, i.e. Volume (data volume), Variance (data class), Velocity (processing speed).How from magnanimity, isomery, identify the network account belonging to same person dynamic account, be the heavy difficult point of technology.
Summary of the invention
The object of the present invention is to provide a kind of network account identification matching process, may be used for large scale network account identification coupling.
For achieving the above object, the invention provides a kind of network account identification matching process, comprising:
Step 10, attribute needed for predefined matched rule arrange network account, using unique record id as the mark of corresponding network account;
Step 20, for each matched rule, if network account has all properties needed for this matched rule, then the content of this all properties of this network account is composed in series attribute string, forms the corresponding relation of the record id of this attribute string and this network account;
Step 30, will the record id merger of same alike result string be corresponded to together, represent same entity people and as the mark of corresponding entity people using merger record id together;
Step 40, the record id had the mark of each entity people broadcast the entity people belonging to it, form the corresponding relation of record id and the mark of entity people belonging to it, by corresponding to the mark merger of the entity people of identical recordings id together, the mark that transitive closure process obtains new entity people is carried out to the mark of merger entity people together;
Step 50, repeatedly carry out step 40, until entity people does not change.
Wherein, step 10 comprises:
Step 101, arrange out required attribute according to matched rule;
Step 102, for each network account data, generate a unique record id;
Step 103, the value corresponding according to required attributes extraction network account, and add record id, generate the data that a line is new; If network account there is not certain attribute or existence but content for empty or illegal, then the content net result of corresponding attribute be sky.
Wherein, in step 20, described content is together in series with specific symbol and forms attribute string.
Wherein, step 40 comprises:
Step 401, the entity people belonging to it is broadcasted to the record id in the mark of each entity people, generate the key-value pair comprising record id and the mark of entity people belonging to it; By with key-value pair form record corresponding relation, follow-up merge operation can be facilitated, and can be convenient to further be transplanted to Hadoop platform;
Step 402, collecting the entity people of each record belonging to id, if the entity people of record belonging to id only has one, then marking the state of corresponding entity people for retaining; Otherwise the record id merged in the mark of all entity people, and duplicate removal, generate the mark of new entity people and the state marking this new entity people is newly-increased, and the state marking the entity people in every Geju City is for deleting;
Step 403, merge the status information of each entity people, if comprise newly-increased in state, this entity people needs to retain; If comprise deletion in state, this entity people needs to delete; Otherwise this entity people needs to retain;
Step 404, export all need retain entity people.
Wherein, judge in step 50 that condition that entity people does not change is that the quantity of entity people remains unchanged.
Wherein, judge in step 50 that the condition that entity people does not change is that the entity people not being in deletion state occurs.
Wherein, described required attribute is identification card number, cell-phone number, E-mail address or No. QQ.
Wherein, described matched rule comprise that identification card number is identical, cell-phone number is identical, E-mail address is identical or No. QQ identical.
Wherein, the key-value pair comprising the record id of this attribute string and this network account is generated in step 20.By with key-value pair form record corresponding relation, follow-up merge operation can be facilitated, and can be convenient to further be transplanted to Hadoop platform.
In sum, which account network account identification matching process of the present invention can identify in the account of magnanimity isomery most possibly belongs to same entity people, can be used in large scale network account identification coupling.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of network account identification matching process one of the present invention preferred embodiment.
Embodiment
Below in conjunction with accompanying drawing, by the specific embodiment of the present invention describe in detail, will make technical scheme of the present invention and beneficial effect apparent.
See Fig. 1, it is the process flow diagram of network account identification matching process one of the present invention preferred embodiment.This preferred embodiment mainly comprises:
Step 10, attribute needed for predefined matched rule arrange network account, using unique record id as the mark of corresponding network account;
Step 20, for each matched rule, if network account has all properties needed for this matched rule, then the content of this all properties of this network account is composed in series attribute string, forms the corresponding relation of the record id of this attribute string and this network account; Such as, the key-value pair of the record id comprising this attribute string and this network account can be generated;
Step 30, will the record id merger of same alike result string be corresponded to together, represent same entity people and as the mark of corresponding entity people using merger record id together;
Step 40, the record id had the mark of each entity people broadcast the entity people belonging to it, form the corresponding relation of record id and the mark of entity people belonging to it, by corresponding to the mark merger of the entity people of identical recordings id together, the mark that transitive closure process obtains new entity people is carried out to the mark of merger entity people together; Such as, the key-value pair of record id and the mark of entity people belonging to it can be formed, by key-value pair merger identical for record id together;
Step 50, repeatedly carry out step 40, until entity people does not change.
There is the public information of some entities owing to having in each network account system, these information are responsive and very important, are the key message places of network account identification, identify that the first step of account embodies these public informations exactly.By analysis, each network account system can need registrant to provide effective E-mail address and phone number to verify usually, and therefore the E-mail address of account, phone number represent registrant usually time identical is same people.Other account needs the information such as ID (identity number) card No., name providing registrant when carrying out real-name authentication, ID (identity number) card No. is an important identifying information.Internet era, network service is very general, and representative is wherein QQ, and therefore QQ number is also an interpersonal important contact means.These information comprehensive can pre-establish following matched rule for identifying same entity people:
1, ID (identity number) card No. is identical;
2, E-mail address is identical;
3, phone number is identical;
4, QQ number is identical.
For other specific business datums, we can also extract other effective rules to identify same entity people.Such as certain entity people registered network account A there is provided mailbox x1 and telephone number p1, provides mailbox x2, do not provide telephone number during registered network account B, but has all carried out real name verification to two accounts, provides authentic and valid ID (identity number) card No..It provides mailbox x2 and phone p2 when registered network account C.Therefore by I.D. identical we know that account A and account B is same entity people, by mailbox identical we know that account B and account C is same entity people, comprehensively can obtain, account A, B, C are same entity people.
The present invention is by predefined matched rule, and the rule of specified network account attributes coupling, with which attribute mates in which kind of situation, and the match is successful accordingly decision method.
Because all kinds of account number structure difference is large, can not directly compare and mate, therefore the first step needs disposal data.Step 10 specifically can comprise:
Step 101, arrange out required attribute according to matched rule, as identification card number, cell-phone number, E-mail address, No. QQ etc.;
Step 102, for each network account data, generate a unique record id, as numbered in order for different account types and add that type forms, as x1, x2 ..., a1, a2 ... etc. form;
Step 103, the value corresponding according to required final attribute correspondence extraction network account, and add record id, generate the data that a line is new; If network account there is not certain attribute or existence but content for empty or illegal, then the content net result of corresponding attribute be sky.Such as certain mailbox system is not owing to carrying out real name verification to registrant, so there is no the information such as ID (identity number) card No., then when extracting, " identification card number " field contents is for empty.
So we obtain consolidation form, can be used for the data of mating, specifically can be as:
| id | Identification card number | Cell-phone number | E-mail address | No. QQ |
| x1 | 360622199001011111 | 13812345678 | vip@audaque.com | 12345678 |
| a1 | 360622199001011111 | 23456789 | ||
| a2 | 34567890 | |||
| y1 | 13812345678 | |||
| y2 | 360622199001012222 | guest@audaque.com | 34567890 |
By step 20, extract the attribute that matched rule is corresponding.For each rule, according to all properties of rule definition, if the content of correspondence is not empty, then all the elements are together in series with specific symbol, composition attribute string, and one group of key-value pair is generated together with record id, as:
360622199001011111/x1
13812345678/x1
vip@audaque.com/x1
12345678/x1
360622199001011111/a1
23456789/a1
34567890/a2
13812345678/y1
360622199001012222/y2
guest@audaque.com/y2
34567890/y2。
In this preferred embodiment with attribute string for key, to record id for value.By generating the mode of key-value pair, the process to mass data can be realized on MapReduce distributed parallel computing platform, completing large scale network account identification coupling.
The present invention merges rules properties by step 30, the same entity people of preliminary identification.Specifically can comprise:
By all identical attribute string merger together, the corresponding id of record together just represents same entity people (registrant), as:
360622199001011111/x1,a1
13812345678/x1,y1
vip@audaque.com/x1
12345678/x1
23456789/a1
34567890/a2,y2
360622199001012222/y2
guest@audaque.com/y2。
Ignore attribute string, following entity people preliminary results list can be obtained:
x1,a1
x1,y1
x1
x1
a1
a2,y2
y2
y2。
By the result obtained after above-mentioned steps identification be calculate by each rule is independent after gained, therefore can there is entity people and to repeat and certain account belongs to the situations such as multiple entity people, the method for solution is called transitive closure.The present invention carries out transitive closure process by step 40 pair data, solves visual human's repetition, problem of transmission.
Step 40 specifically can comprise as follows:
Step 401, the entity people belonging to it is broadcasted to the record id in the mark of each entity people, generate the key-value pair comprising record id and the mark of entity people belonging to it;
For each entity people, generate according to whole record id that the mark of this entity people has the key-value pair comprising the mark recording id and this entity people respectively, as record, id---the record group belonging to x1 comprises:
x1/x1,a1
x1/x1,y1
x1/x1
x1/x1。
Step 402, collecting the entity people of each record belonging to id, if the entity people of record belonging to id only has one, then marking the state of corresponding entity people for retaining; Otherwise the record id merged in the mark of all entity people, and duplicate removal, generate the mark of new entity people and the state marking this new entity people is newly-increased, and the state marking the entity people in every Geju City is for deleting.
Such as, id---the entity people that x1 is corresponding has 4 to record, is respectively " x1, a1 ", " x1, y1 ", " x1 ", " x1 ", and obtain novel entities people " x1, a1, y1 " after merging duplicate removal, state is " increasing newly "; And " x1, a1 ", " x1, y1 ", " x1 ", the state of " x1 " 4 entity people is " deletion ".And for example recording id---the entity people that y1 is corresponding only has one " x1, y1 ", so export its state for " reservation ".
Step 403, merge the status information of each entity people, if comprise newly-increased in state, this entity people needs to retain; If comprise deletion in state, this entity people needs to delete; Otherwise this entity people needs to retain.
Such as, the state of " x1, y1 " comprises 2 kinds, is respectively " deletion " (being calculated by x1) and " reservation " (being drawn by y1), and therefore net result is that entity people " x1, y1 " needs to delete.
Step 404, export all need retain entity people.
All replication problem and a part of problem of transmission can be solved after above-mentioned a few step process.Such as, but also need carry out step 50, this is due to the multiple transmission of entity human world possibility, therefore needs to adopt repeatedly transitive closure process, tentatively identifies entity people " x1, a1 ", " a1, b1 ", " b1, c1 "; After a closure process entity people: " x1, a1, b1 ", " a1, b1, c1 ", again after closure, just net result correctly: " x1, a1, b1, c1 ".When entity people does not change, (in as result, the quantity of entity people remains unchanged, or does not have " deletion " state to occur) stops closure processing procedure.
In sum, the present invention can identify the account belonging to same entity people from mass data, and can be used in large scale network account identification coupling, its beneficial effect mainly contains following 3 points:
One, data benefit.As everyone knows, the value of data is 1+1>>2, and the originally isolated but Data relationship of height correlation got up, its value will be worth sum much larger than itself.By the account of associated entity people, originally loose data can be polymerized, obtain attribute and the action message of entity people comprehensively.This carries out the analysis of entity people for the later stage and is the work of laying a foundation based on the application of analysis result.
Two, economic benefit.After having grasped all kinds of account attribute of entity people and action message, be that a googol is according to oil field.Data itself have economic worth, and application examples such as the precision marketing based on data also has economic worth.
Three, social benefit.When network data, the behavior of the common people that government department grasps, its understanding for the masses can be deepened, formulate actual policy of more fitting, increase social benefit.Meanwhile, public security department, by the monitoring to network data, can obtain clue to solve the case, safeguards the stable of society.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (9)
1. a network account identification matching process, is characterized in that, comprising:
Step 10, attribute needed for predefined matched rule arrange network account, using unique record id as the mark of corresponding network account;
Step 20, for each matched rule, if network account has all properties needed for this matched rule, then the content of this all properties of this network account is composed in series attribute string, forms the corresponding relation of the record id of this attribute string and this network account;
Step 30, will the record id merger of same alike result string be corresponded to together, represent same entity people and as the mark of corresponding entity people using merger record id together;
Step 40, the record id had the mark of each entity people broadcast the entity people belonging to it, form the corresponding relation of record id and the mark of entity people belonging to it, by corresponding to the mark merger of the entity people of identical recordings id together, the mark that transitive closure process obtains new entity people is carried out to the mark of merger entity people together;
Step 50, repeatedly carry out step 40, until entity people does not change.
2. network account identification matching process according to claim 1, it is characterized in that, step 10 comprises:
Step 101, arrange out required attribute according to matched rule;
Step 102, for each network account data, generate a unique record id;
Step 103, the value corresponding according to required attributes extraction network account, and add record id, generate the data that a line is new; If network account there is not certain attribute or existence but content for empty or illegal, then the content net result of corresponding attribute be sky.
3. network account identification matching process according to claim 1, is characterized in that, in step 20, described content is together in series with specific symbol and forms attribute string.
4. network account identification matching process according to claim 1, it is characterized in that, step 40 comprises:
Step 401, the entity people belonging to it is broadcasted to the record id in the mark of each entity people, generate the key-value pair comprising record id and the mark of entity people belonging to it;
Step 402, collecting the entity people of each record belonging to id, if the entity people of record belonging to id only has one, then marking the state of corresponding entity people for retaining; Otherwise the record id merged in the mark of all entity people, and duplicate removal, generate the mark of new entity people and the state marking this new entity people is newly-increased, and the state marking the entity people in every Geju City is for deleting;
Step 403, merge the status information of each entity people, if comprise newly-increased in state, this entity people needs to retain; If comprise deletion in state, this entity people needs to delete; Otherwise this entity people needs to retain;
Step 404, export all need retain entity people.
5. network account identification matching process according to claim 1, is characterized in that, judges that condition that entity people does not change is that the quantity of entity people remains unchanged in step 50.
6. network account identification matching process according to claim 4, is characterized in that, judges that the condition that entity people does not change is that the entity people not being in deletion state occurs in step 50.
7. network account identification matching process according to claim 1, is characterized in that, described required attribute is identification card number, cell-phone number, E-mail address or No. QQ.
8. network account identification matching process according to claim 1, is characterized in that, described matched rule comprise that identification card number is identical, cell-phone number is identical, E-mail address is identical or No. QQ identical.
9. network account identification matching process according to claim 1, is characterized in that, generates the key-value pair comprising the record id of this attribute string and this network account in step 20.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510047747.7A CN104573094B (en) | 2015-01-30 | 2015-01-30 | Network account identifies matching process |
| PCT/CN2015/072489 WO2016119275A1 (en) | 2015-01-30 | 2015-02-09 | Network account identifying and matching method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510047747.7A CN104573094B (en) | 2015-01-30 | 2015-01-30 | Network account identifies matching process |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104573094A true CN104573094A (en) | 2015-04-29 |
| CN104573094B CN104573094B (en) | 2018-05-29 |
Family
ID=53089156
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510047747.7A Active CN104573094B (en) | 2015-01-30 | 2015-01-30 | Network account identifies matching process |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN104573094B (en) |
| WO (1) | WO2016119275A1 (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105207996A (en) * | 2015-08-18 | 2015-12-30 | 小米科技有限责任公司 | Account merging method and apparatus |
| CN105262725A (en) * | 2015-09-08 | 2016-01-20 | 浪潮(北京)电子信息产业有限公司 | Account sharing control method and system |
| CN105912663A (en) * | 2016-04-12 | 2016-08-31 | 宁波极动精准广告传媒有限公司 | User tag merging method based on big data |
| CN106230829A (en) * | 2016-08-03 | 2016-12-14 | 浪潮通用软件有限公司 | Network-oriented threatens the construction method of the virtual identity knowledge mapping found |
| CN106604051A (en) * | 2016-12-20 | 2017-04-26 | 广州华多网络科技有限公司 | Live channel recommending method and device |
| CN106909811A (en) * | 2015-12-23 | 2017-06-30 | 腾讯科技（深圳）有限公司 | The method and apparatus of ID treatment |
| CN106933829A (en) * | 2015-12-29 | 2017-07-07 | 阿里巴巴集团控股有限公司 | A kind of information correlation method and equipment |
| WO2019019401A1 (en) * | 2017-07-25 | 2019-01-31 | 平安科技（深圳）有限公司 | Electronic device, repetition removal method for list, and computer readable storage medium |
| CN110019519A (en) * | 2017-11-28 | 2019-07-16 | 腾讯科技（深圳）有限公司 | Data processing method, device, storage medium and electronic device |
| CN110413623A (en) * | 2019-08-05 | 2019-11-05 | 北京深醒科技有限公司 | A kind of more account querying methods of personal information |
| CN111147511A (en) * | 2019-12-31 | 2020-05-12 | 杭州涂鸦信息技术有限公司 | User identity serial-parallel method and system |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110392041B (en) * | 2019-06-17 | 2022-05-06 | 平安银行股份有限公司 | Electronic authorization method, device, storage equipment and storage medium |
| CN112737825B (en) * | 2020-12-23 | 2022-12-02 | 携程旅游信息技术（上海）有限公司 | Log-based network device association method, system, device and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103118043A (en) * | 2011-11-16 | 2013-05-22 | 阿里巴巴集团控股有限公司 | Identification method and equipment of user account |
| US20130326605A1 (en) * | 2012-05-31 | 2013-12-05 | Microsoft Corporation | Login interface selection for computing environment user login |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060074980A1 (en) * | 2004-09-29 | 2006-04-06 | Sarkar Pte. Ltd. | System for semantically disambiguating text information |
| CN102375853A (en) * | 2010-08-24 | 2012-03-14 | 中国移动通信集团公司 | Distributed database system, method for building index therein and query method |
| CN102426609B (en) * | 2011-12-28 | 2013-02-13 | 厦门市美亚柏科信息股份有限公司 | Index generation method and index generation device based on MapReduce programming architecture |
| CN102915365A (en) * | 2012-10-24 | 2013-02-06 | 苏州两江科技有限公司 | Hadoop-based construction method for distributed search engine |
| CN104239490B (en) * | 2014-09-05 | 2017-05-10 | 电子科技大学 | Multi-account detection method and device for UGC (user generated content) website platform |
| CN104573095B (en) * | 2015-01-30 | 2018-08-14 | 深圳市华傲数据技术有限公司 | Extensive object identifying method based on Hadoop frames |
| CN104573098B (en) * | 2015-01-30 | 2018-05-29 | 深圳市华傲数据技术有限公司 | Extensive object identifying method based on Spark systems |
-
2015
- 2015-01-30 CN CN201510047747.7A patent/CN104573094B/en active Active
- 2015-02-09 WO PCT/CN2015/072489 patent/WO2016119275A1/en active Application Filing
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103118043A (en) * | 2011-11-16 | 2013-05-22 | 阿里巴巴集团控股有限公司 | Identification method and equipment of user account |
| US20130326605A1 (en) * | 2012-05-31 | 2013-12-05 | Microsoft Corporation | Login interface selection for computing environment user login |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105207996A (en) * | 2015-08-18 | 2015-12-30 | 小米科技有限责任公司 | Account merging method and apparatus |
| CN105207996B (en) * | 2015-08-18 | 2018-11-23 | 小米科技有限责任公司 | Account merging method and device |
| CN105262725A (en) * | 2015-09-08 | 2016-01-20 | 浪潮(北京)电子信息产业有限公司 | Account sharing control method and system |
| CN105262725B (en) * | 2015-09-08 | 2018-06-22 | 浪潮(北京)电子信息产业有限公司 | A kind of account Compliance control method and system |
| CN106909811B (en) * | 2015-12-23 | 2020-07-03 | 腾讯科技（深圳）有限公司 | Method and device for processing user identification |
| CN106909811A (en) * | 2015-12-23 | 2017-06-30 | 腾讯科技（深圳）有限公司 | The method and apparatus of ID treatment |
| US10878121B2 (en) | 2015-12-23 | 2020-12-29 | Tencent Technology (Shenzhen) Company Limited | Method and device for converting data containing user identity |
| CN106933829A (en) * | 2015-12-29 | 2017-07-07 | 阿里巴巴集团控股有限公司 | A kind of information correlation method and equipment |
| CN106933829B (en) * | 2015-12-29 | 2020-08-04 | 阿里巴巴集团控股有限公司 | Information association method and device |
| CN105912663A (en) * | 2016-04-12 | 2016-08-31 | 宁波极动精准广告传媒有限公司 | User tag merging method based on big data |
| CN106230829A (en) * | 2016-08-03 | 2016-12-14 | 浪潮通用软件有限公司 | Network-oriented threatens the construction method of the virtual identity knowledge mapping found |
| CN106230829B (en) * | 2016-08-03 | 2019-06-11 | 浪潮通用软件有限公司 | Network-oriented threatens the construction method of the virtual identity knowledge mapping of discovery |
| CN106604051A (en) * | 2016-12-20 | 2017-04-26 | 广州华多网络科技有限公司 | Live channel recommending method and device |
| WO2019019401A1 (en) * | 2017-07-25 | 2019-01-31 | 平安科技（深圳）有限公司 | Electronic device, repetition removal method for list, and computer readable storage medium |
| CN110019519A (en) * | 2017-11-28 | 2019-07-16 | 腾讯科技（深圳）有限公司 | Data processing method, device, storage medium and electronic device |
| CN110413623A (en) * | 2019-08-05 | 2019-11-05 | 北京深醒科技有限公司 | A kind of more account querying methods of personal information |
| CN111147511A (en) * | 2019-12-31 | 2020-05-12 | 杭州涂鸦信息技术有限公司 | User identity serial-parallel method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104573094B (en) | 2018-05-29 |
| WO2016119275A1 (en) | 2016-08-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104573094A (en) | Online account recognizing and matching method | |
| CN102722709B (en) | Method and device for identifying garbage pictures | |
| Abbasi et al. | Descriptive analytics: Examining expert hackers in web forums | |
| KR101475682B1 (en) | Method, system and server for managing friends' feed in network | |
| CN106534164B (en) | Effective virtual identity depicting method based on cyberspace user identifier | |
| CA3138730C (en) | Public-opinion analysis method and system for providing early warning of enterprise risks | |
| WO2019109698A1 (en) | Method and apparatus for determining target user group | |
| CN103745014A (en) | False and true mapping method and system of social network users | |
| CN103544312A (en) | Employment information matching method based on social network | |
| CN106933878B (en) | Information processing method and device | |
| Sarode et al. | Audit and Analysis of Impostors: An experimental approach to detect fake profile in online social network | |
| Ho et al. | Application of sim-hash algorithm and big data analysis in spam email detection system | |
| CN105488471B (en) | A kind of font recognition methods and device | |
| CN103279483B (en) | A kind of topic Epidemic Scope appraisal procedure towards micro-blog and system | |
| US11568416B2 (en) | Cryptocurrency transaction pattern based threat intelligence | |
| CN103810248A (en) | Method and device for searching for interpersonal relationship based on photos | |
| WO2023272862A1 (en) | Risk control recognition method and apparatus based on network behavior data, and electronic device and medium | |
| CN106411704A (en) | Distributed junk short message recognition method | |
| CN106294346A (en) | A kind of forum postings recognition methods and device | |
| Viswam et al. | An efficient bitcoin fraud detection in social media networks | |
| CN115329078B (en) | Text data processing method, device, equipment and storage medium | |
| CN108959255B (en) | Entity labeled data collection construction method, device and equipment | |
| CN106021325A (en) | A friend recommendation method and device | |
| Zhu et al. | A multiview approach based on naming behavioral modeling for aligning chinese user accounts across multiple networks | |
| CN106549914B (en) | identification method and device for independent visitor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| EXSB | Decision made by sipo to initiate substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP02 | Change in the address of a patent holder | ||
| CP02 | Change in the address of a patent holder |
Address after: 518057 2203/2204, Building 1, Huide Building, North Station Community, Minzhi Street, Longhua District, Shenzhen, Guangdong Province Patentee after: SHENZHEN AUDAQUE DATA TECHNOLOGY Ltd. Address before: 518057 Rooms 713, 715 and 716, 7/F, Software Building, No. 9, High-tech Middle Road, High-tech Zone, Nanshan District, Shenzhen, Guangdong Province Patentee before: SHENZHEN AUDAQUE DATA TECHNOLOGY Ltd. |