CN104573094B - Network account identifies matching process - Google Patents
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- CN104573094B CN104573094B CN201510047747.7A CN201510047747A CN104573094B CN 104573094 B CN104573094 B CN 104573094B CN 201510047747 A CN201510047747 A CN 201510047747A CN 104573094 B CN104573094 B CN 104573094B
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Abstract
The present invention relates to a kind of network accounts to identify matching process.This method includes：Step 10, the attribute according to needed for predefined matched rule arrange network account；Step 20, for each matched rule, if all properties of the network account needed for the matched rule, the content of all properties of the network account is composed in series attribute string, forms the correspondence of the attribute string and the record id of the network account；Step 30 will be grouped together corresponding to the record id of same alike result string；Step 40 broadcasts entity people belonging to it to recording id possessed by the mark of each entity people, form record id and the correspondence of the mark of its affiliated entity people, the mark of entity people corresponding to identical recordings id is grouped together, the mark of the entity people to being grouped together carries out transitive closure and handles to obtain the mark of new entity people；Step 40 is repeated in step 50, until entity people does not change.The present invention can be used in the identification matching of large scale network account.
Description
Technical field
The present invention relates to technical field of data processing more particularly to a kind of network account identification matching process.
Background technology
With the development of Internet technology, netizen is in all kinds of websites, the account rapid growth using upper registration.Mainstream applications
Such as QQ, Taobao, 163 mailboxes, intelligence connection recruitment go where to net almost human hand No.1.The basic document of these accounts and activity are believed
Breath contains information largely related with entity people, it may be said that is a data oil field.However, same entity people, all kinds of accounts
Data between number are separated, and same type account (than if any multiple QQ numbers) data are also separated, this puies forward data
It takes and analysis causes obstacle, if can identify which account belongs to same entity people, data will be substantially improved in value.
The difficult point of network account identification is that the data volume of account is very large, and architectural difference is big between all kinds of accounts, account
Among number being also at constantly update, increasing, this also complies with the 3V characteristics of big data, i.e. Volume (data volume), Variance
(data class), Velocity (processing speed).How from magnanimity, isomery, identified in dynamic account and belong to same
Personal network account is the heavy difficult point of technology.
The content of the invention
It is an object of the invention to provide a kind of network accounts to identify matching process, can be used for the knowledge of large scale network account
It does not match.
To achieve the above object, the present invention provides a kind of network account identification matching process, including：
Step 10, attribute according to needed for predefined matched rule arrange network account, using uniquely record id as
The mark of corresponding network account；
Step 20, for each matched rule, will if all properties of the network account needed for the matched rule
The content of all properties of the network account is composed in series attribute string, forms the attribute string and the record id's of the network account
Correspondence；
Step 30 will be grouped together corresponding to the record id of same alike result string, be represented with the record id being grouped together
Same entity people and as the mark of corresponding entity people；
Step 40 broadcasts the entity people belonging to it to record id possessed by the mark of each entity people, forms record id
With the correspondence of the mark of its affiliated entity people, the mark of the entity people corresponding to identical recordings id is grouped together, it is right
The mark for the entity people being grouped together carries out transitive closure and handles to obtain the mark of new entity people；
Step 40 is repeated in step 50, until entity people does not change.
Wherein, step 10 includes：
Step 101 sorts out required attribute according to matched rule；
Step 102, for each network account data, generate a unique record id；
Step 103, according to the corresponding value of required attributes extraction network account, and plus record id, generation a line it is new
Data；If network account is empty or illegal there is no certain attribute or presence but content, the content of attribute is corresponded to most
Fruit terminate as sky.
Wherein, in step 20, the content is together in series with specific symbol and forms attribute string.
Wherein, step 40 includes：
Step 401 broadcasts the record id in the mark of each entity people the entity people belonging to it, and generation includes record id
With the key-value pair of the mark of its affiliated entity people；By recording correspondence in the form of key-value pair, subsequent merger can be facilitated
Operation, and can further be convenient to be transplanted to Hadoop platform；
Step 402 collects each entity people recorded belonging to id, if there are one the entity people belonging to record id,
The state of corresponding entity people is marked to retain；Otherwise merge the record id in the mark of all entity people, and duplicate removal, generate
The mark of the new entity people and state for the entity people for marking this new is newly-increased, and the state of the entity people per Geju City is marked to delete
It removes；
Step 403, the status information for merging each entity people, if comprising increasing newly in state, this entity people needs to retain；Such as
Comprising deleting in fruit state, this entity people needs to delete；Otherwise, this entity people needs to retain；
Step 404, output reservation in need entity people.
Wherein, judge that entity people remains unchanged without the condition changed for the quantity of entity people in step 50.
Wherein, judge in step 50 entity people without change condition be not on deletion state entity people occur.
Wherein, the required attribute is identification card number, cell-phone number, E-mail address or QQ number.
Wherein, the matched rule is including identification card number is identical, cell-phone number is identical, E-mail address is identical or QQ number is identical.
Wherein, key-value pair of the generation comprising the attribute string with the record id of the network account in step 20.By with key assignments
Correspondence is recorded to form, subsequent merger can be facilitated to operate, and can further be convenient to be transplanted to Hadoop and put down
Platform.
In conclusion which the network account identification matching process of the present invention can identify in the account of magnanimity isomery
Account most possibly belongs to same entity people, can be used in the identification matching of large scale network account.
Description of the drawings
Fig. 1 is the flow chart of inventive network account identification one preferred embodiment of matching process.
Specific embodiment
Below in conjunction with the accompanying drawings, it is described in detail by the specific embodiment to the present invention, technical scheme will be made
And its advantage is apparent.
Referring to Fig. 1, for the flow chart of inventive network account identification one preferred embodiment of matching process.This is preferably implemented
Example mainly includes：
Step 10, attribute according to needed for predefined matched rule arrange network account, using uniquely record id as
The mark of corresponding network account；
Step 20, for each matched rule, will if all properties of the network account needed for the matched rule
The content of all properties of the network account is composed in series attribute string, forms the attribute string and the record id's of the network account
Correspondence；For example, the key-value pair of the record id comprising the attribute string and the network account can be generated；
Step 30 will be grouped together corresponding to the record id of same alike result string, be represented with the record id being grouped together
Same entity people and as the mark of corresponding entity people；
Step 40 broadcasts the entity people belonging to it to record id possessed by the mark of each entity people, forms record id
With the correspondence of the mark of its affiliated entity people, the mark of the entity people corresponding to identical recordings id is grouped together, it is right
The mark for the entity people being grouped together carries out transitive closure and handles to obtain the mark of new entity people；For example, note can be formed
Id and the key-value pair of the mark of its affiliated entity people are recorded, the identical key-value pairs of id will be recorded and be grouped together；
Step 40 is repeated in step 50, until entity people does not change.
Due to there is the public information there are some entities in each network account system, these information are sensitive and weigh very much
It wants, is where the key message of network account identification, the first step for identifying account is exactly to embody these public informations.By
Analysis, each network account system usually may require that registrant provides effective E-mail address and phone number is verified, therefore
E-mail address, the phone number of account typically represent registrant when identical be same people.Other account carries out real-name authentication
When need to provide the information such as ID card No., name of registrant, ID card No. is an important identification information.During internet
In generation, network communication is very universal, and representative therein is QQ, therefore QQ number code is also interpersonal one important contact hand
Section.These comprehensive information can pre-establish following matched rule for identifying same entity people：
1st, ID card No. is identical；
2nd, E-mail address is identical；
3rd, phone number is identical；
4th, QQ number code is identical.
For other specific business datums, we can also extract other effective rules to identify same entity people.Example
If some entity people registered network account A is there is provided mailbox x1 and telephone number p1, when registered network account B, provides mailbox
X2 does not provide telephone number, but has carried out real name verification to two accounts, provides authentic and valid ID card No..
It provides mailbox x2 and phone p2 in registered network account C.Therefore it is identical by identity card it is understood that account A and account
B is same entity people, and identical by mailbox it is understood that account B and account C is same entity people, synthesis can obtain, account A, B, C
For same entity people.
The present invention is specified the rule of network account attributes match, is used in the case which kind of by predefined matched rule
Which attribute is matched and corresponding successful match determination method.
Since all kinds of account number structure differences are big, it is impossible to directly be compared and match, therefore the first step needs to arrange data.
Step 10 can specifically include：
Step 101 sorts out required attribute according to matched rule, such as identification card number, cell-phone number, E-mail address, QQ
Number etc.；
Step 102, for each network account data, generate a unique record id, can such as be directed to different accounts
Type numbers in order and adds type and forms, such as x1, the forms such as x2 ..., a1, a2 ...；
Step 103 corresponds to the corresponding value of extraction network account according to required final attribute, and plus record id, it is raw
New data in a row；If network account is empty or illegal there is no certain attribute or presence but content, attribute is corresponded to
Content final result for sky.For example certain mailbox system does not have identity card due to not carrying out real name verification to registrant
The information such as number, then " identification card number " field contents are sky when extracting.
So we obtain unified form, available for matched data, specifically can be such as：
| id | Identification card number | Cell-phone number | E-mail address | QQ number |
| x1 | 360622199001011111 | 13812345678 | vip@audaque.com | 12345678 |
| a1 | 360622199001011111 | 23456789 | ||
| a2 | 34567890 | |||
| y1 | 13812345678 | |||
| y2 | 360622199001012222 | guest@audaque.com | 34567890 |
Pass through step 20, the corresponding attribute of extraction matched rule.For each rule, according to all categories of rule definition
Property, if corresponding content for sky, all the elements are together in series with specific symbol, form attribute string, and with note
Record id generates one group of key-value pair together, such 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。
Using attribute string as key in this preferred embodiment, to record id as value.By way of generating key-value pair, Ke Yi
The processing to mass data is realized on MapReduce distributed parallel computing platforms, completes the identification of large scale network account
Match somebody with somebody.
The present invention merges rules properties by step 30, tentatively identifies same entity people.Can specifically it include：
All identical attribute strings are grouped together, the corresponding id of record together just represents same entity people (registration
Person), such 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's preliminary results list can be obtained：
x1,a1
x1,y1
x1
x1
a1
a2,y2
y2
y2。
It is being obtained after being identified as above-mentioned steps the result is that as each rule is independent calculate after obtained by, therefore can there are entities
Situations such as people repeats and some account belongs to multiple entity people, the method for solution is known as transitive closure.The present invention passes through
Step 40 carries out transitive closure processing to data, solves visual human's repetition, problem of transmission.
Step 40 can specifically include as follows：
Step 401 broadcasts the record id in the mark of each entity people the entity people belonging to it, and generation includes record id
With the key-value pair of the mark of its affiliated entity people；
For each entity people, id is all recorded according to possessed by the mark of entity people and is generated respectively comprising record id
With the key-value pair of the mark of entity people, such as record, id --- the record group belonging to x1 includes：
x1/x1,a1
x1/x1,y1
x1/x1
x1/x1。
Step 402 collects each entity people recorded belonging to id, if there are one the entity people belonging to record id,
The state of corresponding entity people is marked to retain；Otherwise merge the record id in the mark of all entity people, and duplicate removal, generate
The mark of the new entity people and state for the entity people for marking this new is newly-increased, and the state of the entity people per Geju City is marked to delete
It removes.
For example, id --- the corresponding entity people of x1 have 4 to record, it is respectively that " x1, a1 ", " x1, y1 ", " x1 ", " x1 " are closed
And obtained after duplicate removal novel entities people " x1, a1, y1 ", state be " newly-increased "；And " x1, a1 ", " x1, y1 ", " x1 ", " x1 " 4 realities
The state of body people is " deletion ".For another example recording id --- only there are one " x1, y1 ", so exporting its state by the corresponding entity people of y1
For " reservation ".
Step 403, the status information for merging each entity people, if comprising increasing newly in state, this entity people needs to retain；Such as
Comprising deleting in fruit state, this entity people needs to delete；Otherwise, this entity people needs to retain.
For example, " state of x1, y1 " include 2 kinds, respectively " delete " and (are calculated by x1) and " reservation " (passes through y1
Draw), therefore for entity people, " x1, y1 " need to delete final result.
Step 404, output reservation in need entity people.
All replication problems and a part of problem of transmission can be solved after above-mentioned a few step processing.But it also needs to carry out
Step 50, this is because the entity human world may multiple transmission, therefore multiple transitive closure need to be used to handle, such as tentatively identified
Entity people " x1, a1 ", " a1, b1 ", " b1, c1 "；Entity people is obtained after a closure is handled：“x1,a1,b1”,“a1,b1,
C1 ", again after closure, just correct final result：“x1,a1,b1,c1”.It is (real in such as result when entity people does not change
The quantity of body people remains unchanged or does not have " to delete " state appearance) stop closure processing procedure.
In conclusion the present invention can identify the account for belonging to same entity people, Neng Gouyong from mass data
It identifies and matches in large scale network account, its advantage mainly has following three points：
First, data benefit.It is well known that the value of data is 1+1>>2, by the number that script is isolated but highly relevant
According to connecting, value is significantly larger than the sum of value itself.By the account of associated entity people, can polymerize originally loose
Data obtain the attribute and action message of entity people comprehensively.This carries out the analysis of entity people and based on analysis for the later stage
As a result application is the work of foundation.
2nd, economic benefit.It is a huge number after all kinds of account attributes of entity people and action message has been grasped
According to oil field.Data have economic value in itself, and such as precision marketing of the application based on data also has economic value.
3rd, social benefit.When network data, the behavior for the common people that government department grasps, it can be deepened for the masses
Understanding, formulation is more bonded actual policy, increases social benefit.At the same time, public security department passes through to network data
Monitoring, can obtain clue to solve the case, safeguard the stabilization of society.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all the present invention spirit and
All any modification, equivalent and improvement made within principle etc., should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of network account identifies matching process, which is characterized in that including：
Step 10, the attribute according to needed for predefined matched rule arrange network account, uniquely to record id as accordingly
The mark of network account；
Step 20, for each matched rule, if all properties of the network account needed for the matched rule, by the net
The content of all properties of network account is composed in series attribute string, and it is corresponding with the record id of the network account to form the attribute string
Relation；
Step 30 will be grouped together corresponding to the record id of same alike result string, be represented with the record id being grouped together same
Entity people and as the mark of corresponding entity people；
Step 40 broadcasts the entity people belonging to it to record id possessed by the mark of each entity people, forms record id and its
The mark of entity people corresponding to identical recordings id is grouped together, to merger by the correspondence of the mark of affiliated entity people
The mark of entity people together carries out transitive closure and handles to obtain the mark of new entity people；
Step 40 is repeated in step 50, until entity people does not change；
Wherein, step 40 includes：
Step 401 broadcasts the record id in the mark of each entity people the entity people belonging to it, and generation includes record id and its
The key-value pair of the mark of affiliated entity people；
Step 402 collects each entity people recorded belonging to id, if there are one the entity people belonging to record id, marks
The state of corresponding entity people is reservation；Otherwise merge the record id in the mark of all entity people, and duplicate removal, generate new
The mark of the entity people and state for the entity people for marking this new is newly-increased, and the state of the entity people per Geju City is marked to delete；
Step 403, the status information for merging each entity people, if comprising increasing newly in state, this entity people needs to retain；If shape
Comprising deleting in state, this entity people needs to delete；Otherwise, this entity people needs to retain；
Step 404, output reservation in need entity people.
2. network account according to claim 1 identifies matching process, which is characterized in that step 10 includes：
Step 101 sorts out required attribute according to matched rule；
Step 102, for each network account data, generate a unique record id；
Step 103, according to the corresponding value of required attributes extraction network account, and plus record id, the new number of generation a line
According to；If network account is there is no certain attribute or presence but content is empty or illegal, the content of corresponding attribute most terminates
Fruit is sky.
3. network account according to claim 1 identifies matching process, which is characterized in that in step 20, the content with
Specific symbol, which is together in series, forms attribute string.
4. network account according to claim 1 identifies matching process, which is characterized in that judges that entity people does not have in step 50
There is the condition of change to be remained unchanged for the quantity of entity people.
5. network account according to claim 1 identifies matching process, which is characterized in that judges that entity people does not have in step 50
The condition for having change is that the entity people for being not on deletion state occurs.
6. network account according to claim 1 identifies matching process, which is characterized in that the required attribute is identity
Card number, cell-phone number, E-mail address or QQ number.
7. network account according to claim 1 identifies matching process, which is characterized in that the matched rule includes identity
Card number is identical, cell-phone number is identical, E-mail address is identical or QQ number is identical.
8. network account according to claim 1 identifies matching process, which is characterized in that generation includes the category in step 20
Property string and the network account record id key-value pair.
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| 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 |
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| CN105207996B (en) * | 2015-08-18 | 2018-11-23 | 小米科技有限责任公司 | Account merging method and device |
| 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 |
| 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 |
| CN106230829B (en) * | 2016-08-03 | 2019-06-11 | 浪潮通用软件有限公司 | Method for constructing virtual identity knowledge graph facing network threat 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 |
| CN107688603B (en) * | 2017-07-25 | 2019-03-26 | 平安科技（深圳）有限公司 | Electronic device, list remove weighing method 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 |
| 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 |
| 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 |
| 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 (1)
| 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 |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| 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 |
| US9639676B2 (en) * | 2012-05-31 | 2017-05-02 | Microsoft Technology Licensing, Llc | Login interface selection for computing environment user login |
| 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 |
| 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 |
| 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 |
-
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
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|---|---|---|---|---|
| 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 |
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