CN108985954A - A kind of method and relevant device of incidence relation that establishing each mark - Google Patents
A kind of method and relevant device of incidence relation that establishing each mark Download PDFInfo
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Abstract
The embodiment of the invention provides the methods and relevant device of a kind of incidence relation for establishing each mark, for improving the recommendation precision of live streaming platform.The method comprise the steps that obtaining the first identifier set of target platform；The first identifier set is calculated, to obtain the corresponding natural person's logo collection of the first identifier set；Obtain the second identifier set of the target platform；Calculate the similarity of each mark and each natural person mark in natural person's logo collection in the second identifier set；If there is the target identification for being greater than threshold value with the similarity of each natural person mark in natural person's logo collection in the second identifier set, the incidence relation of the target identification and the first natural person mark is then established, first natural person is identified as in natural person's logo collection to be identified with the maximum natural person of the similarity of the target identification.
Description
Technical field
The present invention relates to big data algorithm field more particularly to a kind of methods and phase of the incidence relation for establishing each mark
Close equipment.
Background technique
On live streaming platform, miscellaneous identity (identification, ID) can be collected, such as account class ID
The cookie information ID (cookieID) of (user ID, uid), device identification ID (device id, did) and browser.This
There are mutual connection between a little ID, and it is natural person physically that their behind is corresponding.
If sparse id information can be got up by the relationship convergence between entity now, natural person is arrived in fining,
Huge effect will be so played in many scenes.For example in recommending scene, it can provide the service of ID Mapping
Ability, so that recommending to accomplish all things on earth intercommunication of natural person across screen, across account from the mode of account.Even it is not logged on
Client, by unified ID system, it can be found that the Behavior preference that he reflects in log-on message in other equipment, raising push away
The precision recommended, therefore the various ID being broadcast live on platform are uniformly very important.
Summary of the invention
The embodiment of the invention provides the methods and relevant device of a kind of incidence relation for establishing each mark, for improving
The precision that platform is recommended.
The first aspect of the embodiment of the present invention provides a kind of method of incidence relation for establishing each mark, comprising:
The first identifier set of target platform is obtained, the first identifier collection is combined into the account number in the target platform
Set；
The first identifier set is calculated, to obtain the corresponding natural person's identification sets of the first identifier set
It closes, natural person's logo collection and the first identifier set have incidence relation, and in natural person's logo collection
Each natural person's mark at least corresponds to an account identification in the first identifier set；
The second identifier set of the target platform is obtained, the second identifier collection, which is combined into, logs in setting for the target platform
At least one of standby mark and browser mark；
Calculate each mark in the second identifier set and each natural person mark in natural person's logo collection
Similarity；
If there is the similarity with each natural person mark in natural person's logo collection in the second identifier set
Greater than the target identification of threshold value, then the incidence relation of the target identification and the first natural person mark is established, described first is natural
People is identified as in natural person's logo collection to be identified with the maximum natural person of the similarity of the target identification.
Optionally, it is described calculate in the second identifier set it is each identify with it is respective in natural person's logo collection
So the similarity of people's mark includes:
Step 1: determining that the corresponding first account identification set of first identifier, the first identifier are the second identifier collection
Any mark in conjunction, the first account identification collection are combined into the collection for the account identification for having incidence relation with the first identifier
It closes, and first account aggregation is contained in the first identifier set；
Step 2: determining that the second nature people identifies corresponding second account identification set, the second nature people is identified as institute
Any mark in natural person's logo collection is stated, the second account identification subset is combined into be had with the second nature people mark
The set of the account identification of incidence relation, and the second account identification set is contained in the first identifier set；
Step 3: calculating the similarity between the first account identification set and the second account identification set；
Step 1 is repeated to step 3, until each mark in the second identifier set is identified with the natural person
In set each natural person mark similarity calculation finish until, obtain in the second identifier set it is each identify with it is described
The similarity of each natural person mark in natural person's logo collection.
Optionally, the similarity calculated between the first account identification set and the second account identification set
Include:
Calculating first account by following formula indicates that set is similar between the second account identification set
Degree:
Wherein, U (Pi) it is the second account identification set, U (Dj) it is the first account identification set.
Optionally, described that the first identifier set is calculated, it is corresponding certainly to obtain the first identifier set
So people's logo collection includes:
The processing of account measuring similarity and figure propagation algorithm is carried out to each mark in the first identifier set, with
Obtain natural person's logo collection.
Optionally, the second identifier set for obtaining the target platform includes:
Solicited message is sent to each terminal device for logging in the target platform；
The multiple equipment mark and/or multiple browsers mark that each terminal device is sent are received, obtains described second
Logo collection, wherein the corresponding device identification of each terminal device or a browser mark.
Optionally, if there is no identify with each natural person in natural person's logo collection in the second identifier set
Similarity be greater than threshold value target identification, the method also includes:
The incidence relation of first identifier and target natural person mark, the first identifier are established by preset clustering algorithm
For any of the mark in the second identifier set in addition to the target identification, the target natural person is identified as institute
State any one natural person mark in natural person's logo collection in addition to first natural person mark.
Optionally, the incidence relation packet that first identifier and target natural person mark are established by preset clustering algorithm
It includes:
The mark in the second identifier set in addition to the target identification is generated into cluster according to maximal connected subgraphs
Set of graphs；
It is identified for the unique natural person of each cluster map in the cluster set of graphs, to establish the first identifier
With the incidence relation of target natural person mark.
Second aspect of the embodiment of the present invention provides a kind of device of incidence relation for establishing each mark, comprising:
Acquiring unit, for obtaining the first identifier set of target platform, it is flat that the first identifier collection is combined into the target
The set of account number in platform；
First computing unit, for calculating the first identifier set, to obtain the first identifier set pair
The natural person's logo collection answered, natural person's logo collection and the first identifier set have an incidence relation, and it is described from
Each natural person mark in right people's logo collection at least corresponds to an account identification in the first identifier set；
The acquiring unit is also used to obtain the second identifier set of the target platform, and the second identifier collection, which is combined into, to be stepped on
Record at least one of device identification and the browser mark of the target platform；
Second computing unit, for calculating in each mark and natural person's logo collection in the second identifier set
Each natural person mark similarity；
Processing unit, if for existing and each natural person in natural person's logo collection in the second identifier set
The similarity of mark is greater than the target identification of threshold value, then establishes the incidence relation of the target identification and the first natural person mark,
First natural person is identified as in natural person's logo collection to mark with the maximum natural person of the similarity of the target identification
Know.
Optionally, second computing unit is specifically used for:
Step 1: determining that the corresponding first account identification set of first identifier, the first identifier are the second identifier collection
Any mark in conjunction, the first account identification collection are combined into the collection for the account identification for having incidence relation with the first identifier
It closes, and first account aggregation is contained in the first identifier set；
Step 2: determining that the second nature people identifies corresponding second account identification set, the second nature people is identified as institute
Any mark in natural person's logo collection is stated, the second account identification subset is combined into be had with the second nature people mark
The set of the account identification of incidence relation, and the second account identification set is contained in the first identifier set；
Step 3: calculating the similarity between the first account identification set and the second account identification set；
Step 1 is repeated to step 3, until each mark in the second identifier set is identified with the natural person
In set each natural person mark similarity calculation finish until, obtain in the second identifier set it is each identify with it is described
The similarity of each natural person mark in natural person's logo collection.
Optionally, second computing unit also particularly useful for:
Calculating first account by following formula indicates that set is similar between the second account identification set
Degree:
Wherein, U (Pi) it is the second account identification set, U (Dj) it is the first account identification set.
Optionally, first computing unit is specifically used for:
The processing of account measuring similarity and figure propagation algorithm is carried out to each mark in the first identifier set, with
Obtain natural person's logo collection.
Optionally, the acquiring unit is specifically used for:
Solicited message is sent to each terminal device for logging in the target platform；
The multiple equipment mark and/or multiple browsers mark that each terminal device is sent are received, obtains described second
Logo collection, wherein the corresponding device identification of each terminal device or a browser mark.
Optionally, the processing unit is also used to:
If there is no similar to each natural person mark in natural person's logo collection in the second identifier set
Degree is greater than the target identification of threshold value, establishes first identifier by preset clustering algorithm and is associated with what target natural person identified
System, the first identifier are any of the mark in the second identifier set in addition to the target identification, the mesh
Mark natural person is identified as any one natural person mark in natural person's logo collection in addition to first natural person mark.
Optionally, the processing unit is specifically used for:
The mark in the second identifier set in addition to the target identification is generated into cluster according to maximal connected subgraphs
Set of graphs；
It is identified for the unique natural person of each cluster map in the cluster set of graphs, to establish the first identifier
With the incidence relation of target natural person mark.
Third aspect present invention provides a kind of electronic equipment, including memory, processor, which is characterized in that the place
Reason device establishes each mark as described in above-mentioned any one for realizing when executing the computer management class method stored in memory
The step of method of the incidence relation of knowledge.
Fourth aspect present invention provides a kind of computer readable storage medium, is stored thereon with computer management class
Sequence, it is characterised in that: the foundation as described in above-mentioned any one is realized when the computer management class method is executed by processor
The step of method of the incidence relation respectively identified.
In view of the foregoing it is apparent that passing through the above-mentioned pass for establishing target identification and natural person's mark in the embodiment of the present invention
Connection relationship is realized that the recommendation of live streaming platform is recommended in a manner of account from original, is marked to of the invention by natural person
Know and recommended across screen, across account.That is, it is only necessary to know that the mark of natural person, so that it may obtain and nature
People's mark has the account number of incidence relation and some preference informations of identity of wireless device, and then can reflect out nature
The Behavior preference of people, rising to live streaming platform is the precision that natural person recommends.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of the method for the incidence relation for establishing each mark provided in an embodiment of the present invention；
Fig. 2 is a kind of embodiment schematic diagram of the device for the incidence relation for establishing each mark provided in an embodiment of the present invention；
Fig. 3 is a kind of hardware configuration signal of device for the incidence relation for establishing each mark provided in an embodiment of the present invention
Figure；
Fig. 4 is the embodiment schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention；
Fig. 5 is a kind of embodiment schematic diagram of computer readable storage medium provided in an embodiment of the present invention.
Specific embodiment
The embodiment of the invention provides the methods and relevant device of a kind of incidence relation for establishing each mark, straight for improving
Broadcast the recommendation precision of platform.
Description and claims of this specification and term " first ", " second ", " third ", " in above-mentioned attached drawing
The (if present)s such as four " are to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should manage
The data that solution uses in this way are interchangeable under appropriate circumstances, so that the embodiments described herein can be in addition to illustrating herein
Or the sequence other than the content of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that
Cover it is non-exclusive include, for example, containing the process, method, system, product or equipment of a series of steps or units need not limit
In step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, produce
The other step or units of product or equipment inherently.Following will be combined with the drawings in the embodiments of the present invention, in the embodiment of the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are only a part of the embodiments of the present invention, and
The embodiment being not all of.
Below from the angle of the device for the incidence relation for establishing each mark to the incidence relation for establishing each mark in the present invention
Method be illustrated, which can be server, or the function in server
Energy unit, specifically without limitation.
Referring to Fig. 1, Fig. 1 is an implementation of the method for the incidence relation provided in an embodiment of the present invention for establishing each mark
It illustrates and is intended to, comprising:
101, the first identifier set of target platform is obtained.
In the present embodiment, the first identifier set of the available target platform of device of the incidence relation of each mark is established,
Wherein, first identifier collection is combined into the set of account number in target platform, that is to say, that available to register in target platform
All account numbers set, for example, available all accounts registered in " bucket fish be broadcast live platform ", and by registration
All accounts are as first identifier set.
102, first identifier set is calculated, to obtain the corresponding natural person's logo collection of first identifier set.
In the present embodiment, the device for establishing the incidence relation of each mark can be calculated first identifier set, with
To the corresponding natural person's logo collection of first identifier set, wherein natural person's logo collection has with first identifier set to be associated with
Relationship, and each natural person mark in natural person's logo collection at least corresponds to an account identification in first identifier set.
Specifically, all account classes mark uid in target platform, which is obtained natural person by certain aggregating algorithm, identifies id, herein
It is indicated with person_id.Account is to look for oneself belonging to the behind account number uid with real meaning with the purpose that people identifies
Right people.On live streaming platform, account measuring similarity algorithm and figure propagation algorithm are generally used, naturally it is also possible to using other calculations
Method is calculated, specifically without limitation.
103, the second identifier set of target platform is obtained.
In the present embodiment, available target platform second identifier set, wherein it is flat to be combined into login target for second identifier collection
At least one of the device identification of platform and browser mark.Specifically, the equipment that user logs in target platform can be nothing
Line equipment, such as mobile phone terminal, tablet terminal etc., are also possible to terminal, when user logs in target using wireless device
When platform, it can get by the client of wireless device target platform when carrying out data interaction and log in target platform
The mark of wireless device, mark herein can be the unique identification of wireless device, such as can be the mobile phone iemi code of mobile phone,
When user logs in target platform using terminal, due to using terminal that may belong to public computer terminal,
Therefore user's browser when through browser browsing objective platform can only be obtained at this time identifies cookieID.
It should be noted that step 103, which obtains second identifier set, to be obtained in the following way:
Solicited message is sent to each terminal device for logging in target platform；
The multiple equipment mark and/or multiple browsers mark that each terminal device is sent are received, second identifier set is obtained,
Wherein, the corresponding device identification of each terminal device or a browser mark.
It should be noted that natural person's logo collection can be determined by step 101 to step 102, it can by step 103
To get second identifier set, however, step can be first carried out there is no the limitation of successive execution sequence between the two steps
Rapid 101, to step 102, can also first carry out step 103, or be performed simultaneously, specifically without limitation.
It should be noted that second identifier set may include device identification or browser mark, in order to facilitate understanding with
And description is easy, is illustrated by taking device identification did as an example below:
104, the phase of each mark and the mark of each natural person in natural person's logo collection in second identifier set is calculated
Like degree.
In the present embodiment, after having obtained second identifier set and natural person's logo collection, can be calculated separately
The similarity of all natural persons mark in each mark and natural person's logo collection in two logo collections.
Steps are as follows for specific calculating:
Step 1: determining that the corresponding first account identification set of first identifier, first identifier are appointing in second identifier set
One mark, the first account identification collection are combined into the set for the account identification for having incidence relation with first identifier, and the first account collection
Conjunction is contained in the first identifier set；That is, step 1 is it needs to be determined that account in the corresponding target platform of natural person ID
ID set.
Step 2: determining that the second nature people identifies corresponding second account identification set, the second nature people is identified as natural person
Any mark in logo collection, the second account identification subset are combined into the account mark for having incidence relation with the second nature people mark
The set of knowledge, and the second account identification set is contained in the first identifier set；That is, it needs to be determined that making in step 2
The account ID set of target platform is logged in same wireless device.
Step 3: calculating the similarity between the first account identification set and the second account identification set.One
User may pass through multiple accounts and log in target platform, that is to say, that a natural person person_id corresponds to multiple uid, can be with
Constitute a set；And can also there are multiple namely one did couples using the account that the same wireless device logs in target platform
The uid answered can also constitute a set, can calculate any did and person_ by calculating the similarity between two set
Relationship between id, is calculated by the following formula:
Wherein: sim (Pi,Dj) be person_id set in PiD corresponding with did is usedjSimilarity；
U(Pi) it is that person_id corresponds to PiUid set；
U(Dj) it is that did corresponds to DjUid set.
Step 1 is repeated to step 3, until by each mark and natural person's logo collection in second identifier set
Until the similarity calculation of each natural person's mark finishes, obtain in each mark and the natural person's logo collection in second identifier set
Each natural person mark similarity.
It is greater than if 105, existing in second identifier set with the similarity of each natural person mark in natural person's logo collection
The target identification of threshold value then establishes the incidence relation of target identification and the first natural person mark.
In the present embodiment, in each mark and each nature in natural person's logo collection being calculated in second identifier set
People mark similarity after, it can be determined that under, in second identifier set with the presence or absence of with it is respective in natural person's logo collection
The similarity of right people's mark is greater than the target identification of threshold value, is associated with if so, then establishing target identification with what the first natural person identified
Relationship, wherein the first natural person is identified as in natural person's logo collection to be identified with the maximum natural person of the similarity of target identification.
It it should be noted that not limiting the size of threshold value specifically herein, such as can be 0.15, or other numbers
Value, as long as meeting calculating standard.
It should be noted that if there is no mark with each natural person in natural person's logo collection in second identifier set
The similarity of knowledge is greater than the target identification of threshold value, establishes first identifier and target natural person mark by preset clustering algorithm
Incidence relation, first identifier are any of the mark in second identifier set in addition to target identification, target natural person mark
Know for any one natural person mark in natural person's logo collection in addition to the first natural person mark.
That is, the mark in second identifier set in addition to target identification can be generated according to maximal connected subgraphs
Set of graphs is clustered, is later the unique natural person's mark of each cluster map in cluster set of graphs, to establish first identifier
With the incidence relation of target natural person mark.
It is specific as follows, from the above it is known that being not all identity of wireless device did in second identifier set
Corresponding natural person can be found and identify person_id, that is to say, that not all did can find extension
The person_id leaned on, therefore remaining did in second identifier set is needed to cluster using certain clustering method,
Dendrogram is generated for example, by using maximal connected subgraphs, specific practice is the did that will be unable to establish incidence relation with person_id
When the vertex of mapping, a line of the figure is formed if being used so between two did by common uid, which is building
Each connected subgraph is found after vertical, each subgraph is exactly the result clustered.Distribute subgraph cluster to unique id, these id quilts
Referred to as equipment class person_id, namely establish the incidence relation between person_id and did.
It should be noted that above-mentioned be illustrated by taking the mark did of wireless device as an example, how to establish did with
Incidence relation between person_id, the browser mark cookieID in terminal is established with person_id to be associated with
The mode of system is similar with the incidence relation established between did and person_id, above-mentioned that detailed description has been carried out, it is specific this
Place repeats no more.
In view of the foregoing it is apparent that passing through the above-mentioned pass for establishing target identification and natural person's mark in the embodiment of the present invention
Connection relationship is realized that the recommendation of live streaming platform is recommended in a manner of account from original, is marked to of the invention by natural person
Know and recommended across screen, across account.That is, it is only necessary to know that the mark of natural person, so that it may obtain and nature
People's mark has the account number of incidence relation and some preference informations of identity of wireless device, and then can reflect out nature
The Behavior preference of people rises to the precision of natural person's recommendation.
The method for the incidence relation that each mark is established in the embodiment of the present invention is described above, below to the present invention
The device of the incidence relation for establishing each mark in embodiment is described.
Referring to Fig. 2, establishing one embodiment of the device of the incidence relation of each mark in the embodiment of the present invention, comprising:
Acquiring unit 201, for obtaining the first identifier set of target platform, the first identifier collection is combined into the target
The set of account number in platform；
First computing unit 202, for calculating the first identifier set, to obtain the first identifier set
Corresponding natural person's logo collection, natural person's logo collection and the first identifier set have incidence relation, and described
Each natural person mark in natural person's logo collection at least corresponds to an account identification in the first identifier set；
The acquiring unit 201 is also used to obtain the second identifier set of the target platform, the second identifier set
For at least one of device identification and the browser mark for logging in the target platform；
Second computing unit 203, for calculating each mark and natural person's identification sets in the second identifier set
The similarity of each natural person mark in conjunction；
Processing unit 204, if in the second identifier set exist with it is respective in natural person's logo collection
The similarity of right people's mark is greater than the target identification of threshold value, then establishes the target identification and be associated with what the first natural person identified
System, first natural person are identified as the maximum natural person of similarity in natural person's logo collection with the target identification
Mark.
Optionally, second computing unit 203 is specifically used for:
Step 1: determining that the corresponding first account identification set of first identifier, the first identifier are the second identifier collection
Any mark in conjunction, the first account identification collection are combined into the collection for the account identification for having incidence relation with the first identifier
It closes, and first account aggregation is contained in the first identifier set；
Step 2: determining that the second nature people identifies corresponding second account identification set, the second nature people is identified as institute
Any mark in natural person's logo collection is stated, the second account identification subset is combined into be had with the second nature people mark
The set of the account identification of incidence relation, and the second account identification set is contained in the first identifier set；
Step 3: calculating the similarity between the first account identification set and the second account identification set；
Step 1 is repeated to step 3, until each mark in the second identifier set is identified with the natural person
In set each natural person mark similarity calculation finish until, obtain in the second identifier set it is each identify with it is described
The similarity of each natural person mark in natural person's logo collection.
Optionally, second computing unit 203 also particularly useful for:
Calculating first account by following formula indicates that set is similar between the second account identification set
Degree:
Wherein, U (Pi) it is the second account identification set, U (Dj) it is the first account identification set.
Optionally, first computing unit 202 is specifically used for:
The processing of account measuring similarity and figure propagation algorithm is carried out to each mark in the first identifier set, with
Obtain natural person's logo collection.
Optionally, the acquiring unit 201 is specifically used for:
Solicited message is sent to each terminal device for logging in the target platform；
The multiple equipment mark and/or multiple browsers mark that each terminal device is sent are received, obtains described second
Logo collection, wherein the corresponding device identification of each terminal device or a browser mark.
Optionally, the processing unit 204 is also used to:
If there is no similar to each natural person mark in natural person's logo collection in the second identifier set
Degree is greater than the target identification of threshold value, establishes first identifier by preset clustering algorithm and is associated with what target natural person identified
System, the first identifier are any of the mark in the second identifier set in addition to the target identification, the mesh
Mark natural person is identified as any one natural person mark in natural person's logo collection in addition to first natural person mark.
Optionally, the processing unit 204 is specifically used for:
The mark in the second identifier set in addition to the target identification is generated into cluster according to maximal connected subgraphs
Set of graphs；
It is identified for the unique natural person of each cluster map in the cluster set of graphs, to establish the first identifier
With the incidence relation of target natural person mark.
In view of the foregoing it is apparent that passing through the above-mentioned pass for establishing target identification and natural person's mark in the embodiment of the present invention
Connection relationship is realized that the recommendation of live streaming platform is recommended in a manner of account from original, is marked to of the invention by natural person
Know and recommended across screen, across account.That is, it is only necessary to know that the mark of natural person, so that it may obtain and nature
People's mark has the account number of incidence relation and some preference informations of identity of wireless device, and then can reflect out nature
The Behavior preference of people rises to the precision of natural person's recommendation.
Above figure 2 is from the angle of modular functionality entity to the incidence relation for establishing each mark in the embodiment of the present invention
Device is described, below from the angle of hardware handles to the dress of the incidence relation for establishing each mark in the embodiment of the present invention
It sets and is described in detail, referring to Fig. 3,300 1 realities of the device of the incidence relation for establishing each mark in the embodiment of the present invention
Apply example, comprising:
(wherein the quantity of processor 303 can be with for input unit 301, output device 302, processor 303 and memory 304
One or more, in Fig. 3 by taking a processor 303 as an example).In some embodiments of the invention, input unit 301, output
Device 302, processor 303 and memory 304 can be connected by bus or other means, wherein to be connected by bus in Fig. 3
For.
Wherein, the operational order stored by calling memory 304, processor 303, for executing following steps:
The first identifier set of target platform is obtained, the first identifier collection is combined into the account number in the target platform
Set；
The first identifier set is calculated, to obtain the corresponding natural person's identification sets of the first identifier set
It closes, natural person's logo collection and the first identifier set have incidence relation, and in natural person's logo collection
Each natural person's mark at least corresponds to an account identification in the first identifier set；
The second identifier set of the target platform is obtained, the second identifier collection, which is combined into, logs in setting for the target platform
At least one of standby mark and browser mark；
Calculate each mark in the second identifier set and each natural person mark in natural person's logo collection
Similarity；
If there is the similarity with each natural person mark in natural person's logo collection in the second identifier set
Greater than the target identification of threshold value, then the incidence relation of the target identification and the first natural person mark is established, described first is natural
People is identified as in natural person's logo collection to be identified with the maximum natural person of the similarity of the target identification.
Optionally, it is described calculate in the second identifier set it is each identify with it is respective in natural person's logo collection
So the similarity of people's mark includes:
Step 1: determining that the corresponding first account identification set of first identifier, the first identifier are the second identifier collection
Any mark in conjunction, the first account identification collection are combined into the collection for the account identification for having incidence relation with the first identifier
It closes, and first account aggregation is contained in the first identifier set；
Step 2: determining that the second nature people identifies corresponding second account identification set, the second nature people is identified as institute
Any mark in natural person's logo collection is stated, the second account identification subset is combined into be had with the second nature people mark
The set of the account identification of incidence relation, and the second account identification set is contained in the first identifier set；
Step 3: calculating the similarity between the first account identification set and the second account identification set；
Step 1 is repeated to step 3, until each mark in the second identifier set is identified with the natural person
In set each natural person mark similarity calculation finish until, obtain in the second identifier set it is each identify with it is described
The similarity of each natural person mark in natural person's logo collection.
Optionally, the similarity calculated between the first account identification set and the second account identification set
Include:
Calculating first account by following formula indicates that set is similar between the second account identification set
Degree:
Wherein, U (Pi) it is the second account identification set, U (Dj) it is the first account identification set.
Optionally, described that the first identifier set is calculated, it is corresponding certainly to obtain the first identifier set
So people's logo collection includes:
The processing of account measuring similarity and figure propagation algorithm is carried out to each mark in the first identifier set, with
Obtain natural person's logo collection.
Optionally, the second identifier set for obtaining the target platform includes:
Solicited message is sent to each terminal device for logging in the target platform；
The multiple equipment mark and/or multiple browsers mark that each terminal device is sent are received, obtains described second
Logo collection, wherein the corresponding device identification of each terminal device or a browser mark.
Optionally, if there is no identify with each natural person in natural person's logo collection in the second identifier set
Similarity be greater than threshold value target identification, the method also includes:
The incidence relation of first identifier and target natural person mark, the first identifier are established by preset clustering algorithm
For any of the mark in the second identifier set in addition to the target identification, the target natural person is identified as institute
State any one natural person mark in natural person's logo collection in addition to first natural person mark.
Optionally, the incidence relation packet that first identifier and target natural person mark are established by preset clustering algorithm
It includes:
The mark in the second identifier set in addition to the target identification is generated into cluster according to maximal connected subgraphs
Set of graphs；
It is identified for the unique natural person of each cluster map in the cluster set of graphs, to establish the first identifier
With the incidence relation of target natural person mark.
Referring to Fig. 4, Fig. 4 is the embodiment schematic diagram of electronic equipment provided in an embodiment of the present invention.
As shown in figure 4, the embodiment of the invention provides a kind of electronic equipment, including memory 410, processor 420 and deposit
The computer program 411 that can be run on memory 420 and on processor 420 is stored up, processor 420 executes computer program
It is performed the steps of when 411
The first identifier set of target platform is obtained, the first identifier collection is combined into the account number in the target platform
Set；
The first identifier set is calculated, to obtain the corresponding natural person's identification sets of the first identifier set
It closes, natural person's logo collection and the first identifier set have incidence relation, and in natural person's logo collection
Each natural person's mark at least corresponds to an account identification in the first identifier set；
The second identifier set of the target platform is obtained, the second identifier collection, which is combined into, logs in setting for the target platform
At least one of standby mark and browser mark；
Calculate each mark in the second identifier set and each natural person mark in natural person's logo collection
Similarity；
If there is the similarity with each natural person mark in natural person's logo collection in the second identifier set
Greater than the target identification of threshold value, then the incidence relation of the target identification and the first natural person mark is established, described first is natural
People is identified as in natural person's logo collection to be identified with the maximum natural person of the similarity of the target identification.
In the specific implementation process, when processor 420 executes computer program 411, the corresponding embodiment of Fig. 1 may be implemented
Middle any embodiment.
Since the electronic equipment that the present embodiment is introduced is to implement a kind of association for establishing each mark in the embodiment of the present invention
Equipment used by the device of relationship, so based on method described in the embodiment of the present invention, those skilled in the art
The specific embodiment and its various change form that the electronic equipment of the present embodiment can be understood, so herein for the electronics
How equipment realizes that the method in the embodiment of the present invention is no longer discussed in detail, as long as those skilled in the art implement the present invention
Equipment used by method in embodiment belongs to the range of the invention to be protected.
Referring to Fig. 5, Fig. 5 is a kind of embodiment signal of computer readable storage medium provided in an embodiment of the present invention
Figure.
As shown in figure 5, present embodiments providing a kind of computer readable storage medium 500, it is stored thereon with computer journey
Sequence 511, the computer program 511 realize following steps when being executed by processor:
The first identifier set of target platform is obtained, the first identifier collection is combined into the account number in the target platform
Set；
The first identifier set is calculated, to obtain the corresponding natural person's identification sets of the first identifier set
It closes, natural person's logo collection and the first identifier set have incidence relation, and in natural person's logo collection
Each natural person's mark at least corresponds to an account identification in the first identifier set；
The second identifier set of the target platform is obtained, the second identifier collection, which is combined into, logs in setting for the target platform
At least one of standby mark and browser mark；
Calculate each mark in the second identifier set and each natural person mark in natural person's logo collection
Similarity；
If there is the similarity with each natural person mark in natural person's logo collection in the second identifier set
Greater than the target identification of threshold value, then the incidence relation of the target identification and the first natural person mark is established, described first is natural
People is identified as in natural person's logo collection to be identified with the maximum natural person of the similarity of the target identification.
In the specific implementation process, Fig. 1 corresponding embodiment may be implemented when which is executed by processor
Middle any embodiment.
It should be noted that in the above-described embodiments, all emphasizing particularly on different fields to the description of each embodiment, in some embodiment
The part being not described in may refer to the associated description of other embodiments.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that each process in flowchart and/or the block diagram can be realized by computer program instructions
And/or the combination of the process and/or box in box and flowchart and/or the block diagram.It can provide these computer programs to refer to
Enable the processor of general purpose computer, special purpose computer, embedded computer or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The embodiment of the invention also provides a kind of computer program product, which includes computer software
Instruction, when computer software instructions are run on a processing device, so that processing equipment is executed such as the wind in Fig. 1 corresponding embodiment
Process in the method for electric field digital Platform design.
The computer program product includes one or more computer instructions.Load and execute on computers the meter
When calculation machine program instruction, entirely or partly generate according to process or function described in the embodiment of the present invention.The computer can
To be general purpose computer, special purpose computer, computer network or other programmable devices.The computer instruction can be deposited
Storage in a computer-readable storage medium, or from a computer readable storage medium to another computer readable storage medium
Transmission, for example, the computer instruction can pass through wired (example from a web-site, computer, server or data center
Such as coaxial cable, optical fiber, Digital Subscriber Line (digital subscriber line, DSL)) or wireless (such as infrared, wireless,
Microwave etc.) mode transmitted to another web-site, computer, server or data center.It is described computer-readable to deposit
Storage media can be any usable medium that computer can store or include the integrated clothes of one or more usable mediums
The data storage devices such as business device, data center.The usable medium can be magnetic medium, (for example, floppy disk, hard disk, tape),
Optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk (solid state disk, SSD)) etc..
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided by the present invention, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components
It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of device or unit
It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention
Portion or part steps.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (Read-Only Memory,
ROM), random access memory (Random Access Memory, RAM), magnetic or disk etc. are various can store program
The medium of code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although referring to before
Stating embodiment, invention is explained in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to carry out repairing this or equivalent replacement of some of the technical features；And these
Repair this or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of method for the incidence relation for establishing each mark characterized by comprising
The first identifier set of target platform is obtained, the first identifier collection is combined into the collection of the account number in the target platform
It closes；
The first identifier set is calculated, to obtain the corresponding natural person's logo collection of the first identifier set, institute
Stating natural person's logo collection and the first identifier set has incidence relation, and each of described natural person's logo collection is certainly
Right people's mark at least corresponds to an account identification in the first identifier set；
The second identifier set of the target platform is obtained, the second identifier collection is combined into the equipment mark for logging in the target platform
At least one of knowledge and browser mark；
Each mark calculated in the second identifier set is similar to each natural person mark in natural person's logo collection
Degree；
It is greater than if existing in the second identifier set with the similarity of each natural person mark in natural person's logo collection
The target identification of threshold value then establishes the incidence relation of the target identification and the first natural person mark, the first natural person mark
Know is to identify in natural person's logo collection with the maximum natural person of the similarity of the target identification.
2. the method according to claim 1, wherein each mark calculated in the second identifier set and
In natural person's logo collection each natural person mark similarity include:
Step 1: determining that the corresponding first account identification set of first identifier, the first identifier are in the second identifier set
Any mark, the first account identification collection be combined into the first identifier have incidence relation account identification set,
And first account aggregation is contained in the first identifier set；
Step 2: determine that the second nature people identifies corresponding second account identification set, the second nature people be identified as it is described from
Any mark in right people's logo collection, the second account identification subset are combined into have with the second nature people mark and be associated with
The set of the account identification of relationship, and the second account identification set is contained in the first identifier set；
Step 3: calculating the similarity between the first account identification set and the second account identification set；
Step 1 is repeated to step 3, until by each mark and natural person's logo collection in the second identifier set
In each natural person mark similarity calculation finish until, obtain in the second identifier set it is each mark and the nature
The similarity of each natural person mark in people's logo collection.
3. according to the method described in claim 2, it is characterized in that, described calculate the first account identification set and described the
Similarity between two account identification set includes:
Calculating first account by following formula indicates to gather the similarity between the second account identification set:
Wherein, U (Pi) it is the second account identification set, U (Dj) it is the first account identification set.
4. the method according to claim 1, wherein described calculate the first identifier set, to obtain
Include: to the corresponding natural person's logo collection of the first identifier set
The processing of account measuring similarity and figure propagation algorithm is carried out, to each mark in the first identifier set to obtain
Natural person's logo collection.
5. the method according to claim 1, wherein the second identifier set packet for obtaining the target platform
It includes:
Solicited message is sent to each terminal device for logging in the target platform；
The multiple equipment mark and/or multiple browsers mark that each terminal device is sent are received, the second identifier is obtained
Set, wherein the corresponding device identification of each terminal device or a browser mark.
6. the method according to any one of claims 1 to 5, which is characterized in that if not deposited in the second identifier set
It is greater than the target identification of threshold value in the similarity with each natural person mark in natural person's logo collection, the method is also wrapped
It includes:
The incidence relation of first identifier and target natural person mark is established by preset clustering algorithm, the first identifier is institute
State any of the mark in second identifier set in addition to the target identification, the target natural person be identified as it is described from
Any one natural person mark in right people's logo collection in addition to first natural person mark.
7. according to the method described in claim 6, it is characterized in that, it is described by preset clustering algorithm establish first identifier with
Target natural person mark incidence relation include:
The mark in the second identifier set in addition to the target identification is generated into cluster atlas according to maximal connected subgraphs
It closes；
It is identified for the unique natural person of each cluster map in the cluster set of graphs, to establish the first identifier and institute
State the incidence relation of target natural person mark.
8. a kind of device for the incidence relation for establishing each mark characterized by comprising
Acquiring unit, for obtaining the first identifier set of target platform, the first identifier collection is combined into the target platform
Account number set；
First computing unit, it is corresponding to obtain the first identifier set for calculating the first identifier set
Natural person's logo collection, natural person's logo collection and the first identifier set have incidence relation, and the natural person
Each natural person mark in logo collection at least corresponds to an account identification in the first identifier set；
The acquiring unit is also used to obtain the second identifier set of the target platform, and the second identifier collection, which is combined into, logs in institute
State at least one of device identification and the browser mark of target platform；
Second computing unit, for calculate in the second identifier set it is each mark with it is each in natural person's logo collection
The similarity of natural person's mark；
Processing unit, if being identified for existing in the second identifier set with each natural person in natural person's logo collection
Similarity be greater than the target identification of threshold value, then establish the incidence relation that the target identification and the first natural person identify, it is described
First natural person is identified as in natural person's logo collection to be identified with the maximum natural person of the similarity of the target identification.
9. a kind of electronic equipment, including memory, processor, which is characterized in that the processor is deposited for executing in memory
The incidence relation for establishing each mark as claimed in any of claims 1 to 7 in one of claims is realized when the computer management class method of storage
Method the step of.
10. a kind of computer readable storage medium is stored thereon with computer management class method, it is characterised in that: the calculating
Machine management class method realizes the association for establishing each mark as claimed in any of claims 1 to 7 in one of claims when being executed by processor
The step of method of relationship.
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