CN109063157A - Resource recommendation method and its device, equipment/terminal/server, computer-readable medium - Google Patents
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Abstract
This application discloses a kind of resource recommendation method and its devices, equipment/terminal/server, computer-readable medium.One specific embodiment of this method includes: to establish the virtual relation between the first user and second user according to user's clustering rule predetermined；According to the virtual relation between first user and the second user, give association and the resource recommendation of first user to the second user, the specific embodiment has effectively achieved the communication between user, and user, which is furthermore achieved, can carry out information connection with other users in social networking system, communicate simultaneously shared information.
Description
Technical field
This application involves field of computer technology, and in particular to Internet technical field more particularly to a kind of resource recommendation
Method and device thereof, equipment/terminal/server, computer-readable medium.
Background technique
Social activity with the fast development of computer technology and Internet technology, in the electronic equipments such as mobile phone, tablet computer
The type of network system is more and more, and the communication mode of people has very big change, gradually from face-to-face practical exchange transition
It is linked up to by social networks.
User (such as individual or entity) can interact with social networking system and be handed over each other by social networking system
Mutually.As user inputs, social networking system can create in social networking system and store user's money associated with the user
Material.Social networking system can will service the mobile phone that related interior perhaps message is sent to user with it by one or more networks
Or other calculating equipment.User can also install social category application on the mobile phone of user or other calculating equipment, be configured to access
The subscriber data of user and other data in social networking system.
Therefore, how the communication between user is efficiently solved by social networking system to ask as technology urgently to be resolved
Topic, information connection can be carried out with other users in social networking system, communicate simultaneously shared information by further realizing user.
Summary of the invention
The purpose of the application is to propose a kind of resource recommendation method and its device, equipment/terminal/server, computer
Readable medium, being configured to effectively realize the communication between user becomes technical problem urgently to be resolved, further realizes user
Information connection can be carried out with other users in social networking system, communicate simultaneously shared information.
In a first aspect, this application provides a kind of resource recommendation methods comprising:
According to user's clustering rule predetermined, the virtual relation between the first user and second user is established；
According to the virtual relation between first user and the second user, by the money of association and first user
Recommend the second user in source.
Second aspect, the embodiment of the present application provide a kind of resource recommendation device comprising:
First program unit is configured to establish the first user and second user according to user's clustering rule predetermined
Between virtual relation；
Second program unit is configured to be closed according to the virtual relation between first user and the second user
Connection and the resource recommendation of first user give the second user.
The third aspect, the embodiment of the present application provide a kind of equipment/terminal/server, comprising:
One or more processors；
Storage medium is configured to store one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes the method as described in above-mentioned any embodiment.
Fourth aspect, the embodiment of the present application provide a kind of computer-readable medium, are stored thereon with computer program, should
The method as described in above-mentioned any embodiment is realized when program is executed by processor.
Resource recommendation method and its device provided by the present application, equipment/terminal/server, in computer-readable medium, root
According to user's clustering rule predetermined, the virtual relation between the first user and second user is established；It is used according to described first
Virtual relation between family and the second user gives association and the resource recommendation of first user to the second user,
The communication between user is had effectively achieved, user, which is furthermore achieved, to carry out letter with other users in social networking system
Breath connection, communication and shared information.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the application's is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is resource recommendation method flow diagram in the embodiment of the present application one；
Fig. 2 is resource recommendation method flow diagram in the embodiment of the present application two；
Fig. 3 is resource recommendation method flow diagram in the embodiment of the present application three；
Fig. 4 is resource recommendation method flow diagram in the embodiment of the present application four；
Fig. 5 is resource recommendation method flow diagram in the embodiment of the present application five；
Fig. 6 is resource recommendation method flow diagram in the embodiment of the present application six；
Fig. 7 is resource recommendation method flow diagram in the embodiment of the present application seven；
Fig. 8 is the structural schematic diagram of resource recommendation device in the embodiment of the present application eight；
Fig. 9 is the structural schematic diagram of resource recommendation device in the embodiment of the present application nine；
Figure 10 is the structural schematic diagram of resource recommendation device in the embodiment of the present application ten；
Figure 11 is the structural schematic diagram of resource recommendation device in the embodiment of the present application 11；
Figure 12 is the structural schematic diagram of resource recommendation device in the embodiment of the present application 12；
Figure 13 is the structural schematic diagram of resource recommendation device in the embodiment of the present application 13；
Figure 14 is the structural schematic diagram of resource recommendation device in the embodiment of the present application 14；
Figure 15 is equipment/terminal/server structural schematic diagram in the embodiment of the present application 15.
Figure 16 is equipment/terminal/server hardware configuration in the embodiment of the present application 16.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated only is only configured to explain related invention, rather than the restriction to the invention.It also should be noted that being
Convenient for description, part relevant to related invention is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
In the following embodiments of the application, according to user's clustering rule predetermined, the first user and second user are established
Between virtual relation；It, will association and described the further according to the virtual relation between first user and the second user
The resource recommendation of one user gives the second user.
In following embodiments, it is illustrated for being specifically applied to short-sighted frequency application, such as short Video Applications
The recommendation of short video content is carried out between user.Therefore, the resource in following embodiments is specifically referred in short-sighted frequency application
Short-sighted frequency, the first user refers to the user for recommending short-sighted frequency, and second user refers to the user for receiving to recommend.So first uses
Family and second user can be the relationship more than one, be also possible to many-to-one relationship.
However, it is desirable to illustrate, only it is illustrated for being applied to short video scene in following embodiments, and it is right
For those of ordinary skill in the art, under the inspiration of following embodiments, without creative work, also it can be applied to other
Application scenarios with social attribute.
Fig. 1 is resource recommendation method flow diagram in the embodiment of the present application one；As shown in Figure 1, it may include as follows
Step S101-S102:
S101, according to user's clustering rule predetermined, establish the first user and second user be corresponding unique
Concordance list between property user identifier, to establish virtual relation；
In the present embodiment, user's clustering rule be configured mainly to realize user between based on the similitude in terms of some and
Classify to user.And the vector classified to user is defined in user's clustering rule, which can have one
A or multiple dimensions go to determine the similitude between user from these dimension angles.That is, including using in the clustering rule
Family class vector, user's class vector has one or more classification dimension, according to user's class vector come really
Determine the similitude between user.
In the present embodiment, user can refer to the interim use in short-sighted frequency application platform lawful registration or dynamic log
Family.For the user of lawful registration, the user identifier of a uniqueness is distributed by short-sighted frequency application platform, and for dynamic log
Casual user, the temporary user name of its login, such as instant messaging account or mobile phone are recorded in short-sighted frequency application platform
Number etc., and since instant messaging account or cell-phone number also have uniqueness, different users can be recognized, it therefore, can be direct
Using instant messaging account or cell-phone number as user identifier.
For this purpose, in step s101 or before step S101, can first by short-sighted frequency application platform from backstage or
The user identifier that the first user and second user are obtained on person's headend equipment, if it is obtaining user identifier from headend equipment
Words, user identifier directly can store on headend equipment.
For example, being based on the user identifier after obtaining user identifier and going to collect the data of above-mentioned classification dimension, thus shape
It is then determined between user according to the similitude between user's class vector at user's class vector for the user
Similitude.For example it if the cosine similarity between two user's class vectors is greater than the similarity threshold of setting, can incite somebody to action
The two users are classified as same class.Similarity threshold can be obtained based on big data analysis.
Therefore, when judging has similitude between two or more users, it can be directly linked these users'
User identifier forms a concordance list, records the virtual relation between user by the concordance list.However, it is desirable to explanation, by
There may be similitude with multiple users in some user, concordance list is caused to reflect that the relationship between user may be netted
Structure.
S102, according to the virtual relation between first user and the second user, association is used with described first
The resource recommendation at family gives the second user.
In the present embodiment, since step determines that belonging to same class between the first user and second user uses before
Family has certain similitude, therefore, the short-sighted frequency that the first user watches or likes can be recommended second user.?
When specific recommendation, directly the short-sighted frequency of recommendation can be added in the short list of videos of second user, alternatively, by the short of recommendation
The address URL of video is added into the short list of videos of second user, alternatively, sending or informing by way of personal letter
Two users；Alternatively, second user is sent or informed in a manner of comment, to have effectively achieved the ditch between different user
Logical, user, which is furthermore achieved, can carry out information connection with other users in social networking system, communicate simultaneously shared information.
Know that those are the short-sighted frequencies recommended for the ease of second user, in the present embodiment, for recommendation short-sighted frequency into
It has gone and has emphasized to be arranged in display, for example had and the prominent effect such as reside permanently.
Fig. 2 is resource recommendation method flow diagram in the embodiment of the present application two；It, can be with as shown in Fig. 2, in the present embodiment
Include the following steps S201-S203:
S201, the attribute vector for determining first user and the second user；
In the present embodiment, the attribute vector is the attribute vector of a multidimensional, wherein each dimension attribute indicates a use
The value of one attribute at family describes the feature and social property of user.Social property is such as interest, education background, occupation back
Scape etc., gender, age, the birthplace etc. of the aspect ratio of user for example user.
In the present embodiment, the dependency number of the reaction user characteristics and social property that are needed to determine the attribute vector of user
According to can directly be obtained from short-sighted frequency application platform, for this purpose, the dialog box of these data is collected in configuration in user's registration.
S202, according to user's clustering rule predetermined, first user and the corresponding attribute of second user
Vector establishes virtual relation.
In the present embodiment, configured with attribute vector similarity calculation rule in user's clustering rule, determining user's
After attribute vector, according to similarity calculation rule is provided with, the vector value or radar of the attribute vector of different user are calculated
Figure determines between user whether there is similitude then according to the similitude of vector value or the similitude of radar map.Such as the
The corresponding vector value of one user and the corresponding vector value of second user are located in the range intervals of same setting, then the first user and
Second user has similitude, can be classified as same class user.For another example, if the first user and second user are corresponding
Radar map registration with higher, then the first user and second user have similitude, can be classified as same class user.
S203, according to the virtual relation between first user and the second user, association is used with described first
The resource recommendation at family gives the second user.
In the present embodiment, step S203, i.e., can be directly by the short of recommendation in specific recommend similar to above-mentioned steps S102
Video is added in the short list of videos of second user, alternatively, being added to the address URL of the short-sighted frequency of recommendation to second user
Short list of videos in, alternatively, sending or informing second user by way of personal letter；Alternatively, being sent in a manner of comment
Or inform second user.Know that those are the short-sighted frequencies recommended for the ease of second user, in the present embodiment, for recommendation
What short-sighted frequency was shown emphasizes to be arranged, for example has and the prominent effect such as reside permanently.
In the present embodiment, it can will be associated with according to the virtual relation between first user and the second user
The second user is directly pushed to the resource of first user；Alternatively, if the second user enables resource subscription
Mode then gives association and the resource supplying of first user to the second user.
Fig. 3 is resource recommendation method flow diagram in the embodiment of the present application three；It, can be with as shown in figure 3, in the present embodiment
Include the following steps S301-S303:
S301, the behavior record for determining first user and second user；
In the present embodiment, user behavior data library is configured in equipment/terminal/server of short-sighted frequency application platform,
Record is configured to using the behavioral data of the user of the short video platform, user behavior refers to related behaviour of the user in application website
To make, such as browses certain user information, it is certain short-sighted frequency scoring that the short-sighted frequency of preview, which downloads certain short-sighted frequency, watches certain short-sighted frequency,
Comment etc. is write for certain short-sighted frequency.
In addition, it is necessary to explanation, different field using website by sharing the behavioural information of user, can be more complete
Recommended on the basis of the richer user information in face, so as to improve the quality of recommendation jointly, such as different field
User information is shared using that can cooperate by way of application website monitoring between website.
It includes: use that user behavior data inventory, which has the record of data source (such as social network sites) user behavior with social networks,
Family mark, user account, application field, Apply Names, the time that behavior occurs, project name (including it is short video name, short-sighted
Frequency brief introduction etc.), short video tab (including short-sighted frequency classification, short-sighted producer, short-sighted frequency uploader, short-sighted frequency keyword etc.
Deng), related link (link including short-sighted frequency introduction page), user action (including browsing, audiovisual, it downloads, comments on, purchase
Etc.), user feedback (including scoring, comment, the film review etc. to short-sighted frequency).
S302, according to user's clustering rule predetermined, first user and the corresponding behavior of second user
Record establishes virtual relation.
In the present embodiment, behavior record vector is configured in user's clustering rule, a user configuration has a behavior note
Vector is recorded, the behavior, which records vector, has multidimensional, the user behavior per one-dimensional one classification of correspondence.It is determined by step S301
After user behavior, corresponding user behavior is directly corresponded in behavior record vector, in the clustering rule of family configured with attribute to
Similarity calculation rule is measured, after determining the attribute vector of user, according to similarity calculation rule is provided with, is calculated different
The vector value of the behavior record vector of user determines between user whether there is similitude then according to the similitude of vector value.
Such as first the corresponding vector value of user and the corresponding vector value of second user be located in the range intervals of same setting, then first
User and second user have similitude, can be classified as same class user.
S303, according to the virtual relation between first user and the second user, association is used with described first
The resource recommendation at family gives the second user.
In the present embodiment, step S303, i.e., can be directly by the short of recommendation in specific recommend similar to above-mentioned steps S102
Video is added in the short list of videos of second user, alternatively, being added to the address URL of the short-sighted frequency of recommendation to second user
Short list of videos in, alternatively, sending or informing second user by way of personal letter；Alternatively, being sent in a manner of comment
Or inform second user.Know that those are the short-sighted frequencies recommended for the ease of second user, in the present embodiment, for recommendation
What short-sighted frequency was shown emphasizes to be arranged, for example has and the prominent effect such as reside permanently.
Fig. 4 is resource recommendation method flow diagram in the embodiment of the present application four；It, can be with as shown in figure 4, in the present embodiment
Include the following steps S401-S403:
S401, the interest tags for determining first user and second user；
In the present embodiment, can user behavior to be collected into based on the above embodiment three, form user tag, a use
Family may be configured for multiple and different user tags.
In the specific implementation, directly user tag can be stored in above-mentioned user behavior data library.
S402, according to user's clustering rule predetermined, first user and the corresponding interest of second user
Label establishes virtual relation.
In the present embodiment, user's clustering rule, i.e., by compare user tag similarity come determine the first user and
Similitude between two users, establishes virtual relation accordingly.
If if user tag may be logically divided into as Ganlei the comparison of vector can be passed through in a manner of above-mentioned setting vector
To determine the similitude between user.
S403, according to the virtual relation between first user and the second user, association is used with described first
The resource recommendation at family gives the second user.
In the present embodiment, step S303, i.e., can be directly by the short of recommendation in specific recommend similar to above-mentioned steps S102
Video is added in the short list of videos of second user, alternatively, being added to the address URL of the short-sighted frequency of recommendation to second user
Short list of videos in, alternatively, sending or informing second user by way of personal letter；Alternatively, being sent in a manner of comment
Or inform second user.Know that those are the short-sighted frequencies recommended for the ease of second user, in the present embodiment, for recommendation
What short-sighted frequency was shown emphasizes to be arranged, for example has and the prominent effect such as reside permanently.
Fig. 5 is resource recommendation method flow diagram in the embodiment of the present application five；It, can be with as shown in figure 5, in the present embodiment
Include the following steps S501-S503:
S501, according to user's clustering rule predetermined, established and used as node using first user and second user
Family relationship topology structure, the customer relationship topological structure characterize the virtual relation.
In the present embodiment, can based on the above embodiment in user behavior, user property etc. form opening up for a user
Flutterring structure, user is the central node of the topological structure, user behavior, the peripheral node that user property is topological structure, according to
The similitude of the topological structure of different user establishes customer relationship topological structure.User's clustering rule predetermined is based on opening up
Flutter the similitude rule of structure.
S502, according to the virtual relation between first user and the second user, association is used with described first
The resource recommendation at family gives the second user.
In the present embodiment, step S303, i.e., can be directly by the short of recommendation in specific recommend similar to above-mentioned steps S102
Video is added in the short list of videos of second user, alternatively, being added to the address URL of the short-sighted frequency of recommendation to second user
Short list of videos in, alternatively, sending or informing second user by way of personal letter；Alternatively, being sent in a manner of comment
Or inform second user.Know that those are the short-sighted frequencies recommended for the ease of second user, in the present embodiment, for recommendation
What short-sighted frequency was shown emphasizes to be arranged, for example has and the prominent effect such as reside permanently.
Fig. 6 is resource recommendation method flow diagram in the embodiment of the present application six；It, can be with as shown in fig. 6, in the present embodiment
Include the following steps S601-S603:
S601, the electronic business card for generating first user and the second user；
In the present embodiment, can based on the above embodiment in user behavior, user property etc. form the electricity of a user
Sub- business card, for user identifier directly as the ID of electronic business card, which just has user behavior, user property etc..
S602, it is respectively corresponded according to user's clustering rule predetermined and first user and the second user
Electronic business card, establish the virtual relation between the first user and second user.
In the present embodiment, user's clustering rule predetermined is the similitude rule based on electronic business card.
S603, according to the virtual relation between first user and the second user, association is used with described first
The resource recommendation at family gives the second user.
In the present embodiment, recommendation list can also be generated in step S603, include association in the recommendation list with it is described
Multiple resources of first user, different resources have different recommended priorities；By multiple resources in the recommendation list
The second user is recommended in batch or one by one.
Specifically, such as according to the recommended priority threshold value of setting, recommended with filtering out to be greater than from the recommendation list
The resource of priority threshold value recommends the second user in batch or one by one.
Fig. 7 is resource recommendation method flow diagram in the embodiment of the present application seven；It, can be with as shown in fig. 7, in the present embodiment
Include the following steps S701-S703:
S701, according to user's clustering rule predetermined, establish the virtual relation between the first user and second user；
S702, according to the virtual relation between first user and the second user, association is used with described first
The resource recommendation at family gives the second user.
In the present embodiment, step S701, S702 can refer to the record of above-described embodiment.
S703, obtain the second user to the consumption of the resource of recommendation as a result, with according to the consumption result more
New user's clustering rule.
For example, if the resource that the second user preview is recommended, the resource that generates recommendation are consumed
Information and be pushed to first user, the information that the resource of recommendation has been consumed is as the consumption result.
In the present embodiment, by consuming the feedback of result, so that entire recommended flowsheet forms a closed loop, if first uses
The short-sighted frequency that family is recommended is consumed by second user, then the short-sighted frequency for showing that second user recommends the first user is really interested,
The subsequent recommendation that can increase such short-sighted frequency.It, then can be by user's clustering rule in order to increase the recommendation of this section of video
The middle tag along sort for recording short-sighted frequency, can directly directly determine the similitude of user according to the tag along sort.
Fig. 8 is the structural schematic diagram of resource recommendation device in the embodiment of the present application eight；As shown in figure 8, it may include:
First program unit 801 is configurable to establish the first user and according to user's clustering rule predetermined
Virtual relation between two users；
Second program unit 802 is configurable to according to the virtual pass between first user and the second user
System gives association and the resource recommendation of first user to the second user.
In some embodiments, first user and second user have uniqueness user identifier；Accordingly, described
One program unit may further be configured to establish the first user and second user point according to user's clustering rule predetermined
Concordance list between not corresponding uniqueness user identifier, to establish virtual relation.
Related Fig. 8's is discussed in detail, and may refer to above-mentioned Fig. 1.
Fig. 9 is the structural schematic diagram of resource recommendation device in the embodiment of the present application nine；As shown in figure 9, in addition to upper
It states outside the first program unit 801 and the second program unit 802, can also include: third program unit 803, be configurable to really
The attribute vector of fixed first user and the second user；
First program unit may further be configured to be used according to user's clustering rule predetermined, described first
Family and the corresponding attribute vector of second user establish virtual relation.
Related Fig. 9's is discussed in detail, and may refer to above-mentioned Fig. 2.
Figure 10 is the structural schematic diagram of resource recommendation device in the embodiment of the present application ten；As shown in Figure 10, in addition to
Outside above-mentioned first program unit 801 and the second program unit 802, it can also include: the 4th program unit 804, be configurable to
Determine the behavior record of first user and second user；
Further, first program unit may further be configured to according to user's clustering rule predetermined,
First user and the corresponding behavior record of second user establish virtual relation.
Related Figure 10's is discussed in detail, and may refer to above-mentioned Fig. 3.
Figure 11 is the structural schematic diagram of resource recommendation device in the embodiment of the present application 11；As shown in figure 11, in addition to packet
It includes outside above-mentioned first program unit 801 and the second program unit 802, further includes: the 5th program unit 805 is configurable to really
The interest tags of fixed first user and second user；
Further, first program unit may further be configured to according to user's clustering rule predetermined,
First user and the corresponding interest tags of second user establish virtual relation.
Related Figure 11's is discussed in detail, and may refer to above-mentioned Fig. 4.
In other embodiments, first program unit may further be configured to be clustered according to user predetermined
Rule establishes customer relationship topological structure, the customer relationship topological structure using first user and second user as node
Characterize the virtual relation.Related topological structure is discussed in detail, and may refer to above-mentioned Fig. 5.
Figure 12 is the structural schematic diagram of resource recommendation device in the embodiment of the present application 12；As shown in figure 12, in addition to packet
It includes outside above-mentioned first program unit 801 and the second program unit 802, can also include: the 6th program unit 806, can configure
For the electronic business card for generating first user and the second user；
Further, first program unit may further be configured to according to user's clustering rule predetermined with
And first user and the corresponding electronic business card of the second user, establish the void between the first user and second user
Quasi- relationship.
Further, second program unit may further be configured to be used according to first user and described second
Association and the resource of first user are directly pushed to the second user by the virtual relation between family；Alternatively, if described
Second user enables resource subscription mode, then gives association and the resource supplying of first user to the second user.
Related Figure 11's is discussed in detail, and may refer to above-mentioned Fig. 6.
Figure 13 is the structural schematic diagram of resource recommendation device in the embodiment of the present application 13；As shown in figure 13, in addition to packet
It includes outside above-mentioned first program unit 801 and the second program unit 802, can also include: the 7th program unit 807, can configure
It include multiple resources of association with first user to generate recommendation list, in the recommendation list, different resources has
Different recommended priorities；
In the present embodiment, second program unit may further be configured to according to first user and described second
Multiple resources in the recommendation list are recommended the second user by the virtual relation between user in batch or one by one.
In the present embodiment, the 7th program unit may further be configured to the recommended priority threshold value according to setting,
To filter out the resource recommendation greater than recommended priority threshold value from the recommendation list to the second user.
Figure 14 is the structural schematic diagram of resource recommendation device in the embodiment of the present application 14；As shown in figure 14, in addition to packet
It includes outside above-mentioned first program unit 801 and the second program unit 802, can also include: the 8th program unit 808, can configure
To obtain the second user to the consumption of the resource of recommendation as a result, poly- to update the user according to the consumption result
Rule-like.
In the present embodiment, if the resource that the second user preview is recommended, the 8th program unit are further
It is configurable to, generates the information that the resource of recommendation has been consumed and is pushed to first user, the money of recommendation
The information that source has been consumed is as the consumption result.
Figure 15 is equipment/terminal/server structural schematic diagram in the embodiment of the present application 15；Equipment/the terminal/service
Device may include:
One or more processors 1501；
Storage medium 1502 is configurable to store one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes the resource recommendation method as described in above-mentioned any embodiment.
Figure 16 is equipment/terminal/server hardware configuration in the embodiment of the present application 16；As shown in figure 16, the service
The hardware configuration of device may include: processor 1601, communication interface 1602, storage medium 1603 and communication bus 1604；
Wherein processor 1601, communication interface 1602, storage medium 1603 are completed mutual by communication bus 1604
Communication；
Optionally, communication interface 1602 can be the interface of communication module, such as the interface of gsm module；
Wherein, processor 1601 is specifically configurable to: according to user's clustering rule predetermined, establishing the first user
Virtual relation between second user；According to the virtual relation between first user and the second user, will be associated with
The second user is given with the resource recommendation of first user.
Processor 1601 can be general processor, including central processing unit (Central Processing Unit, letter
Claim CPU), network processing unit (Network Processor, abbreviation NP) etc.；Can also be digital signal processor (DSP), specially
With integrated circuit (ASIC), ready-made programmable gate array (FPGA) either other programmable logic device, discrete gate or crystal
Pipe logical device, discrete hardware components.It may be implemented or execute the disclosed each method in the embodiment of the present application, step and patrol
Collect block diagram.General processor can be microprocessor or the processor is also possible to any conventional processor etc..
Storage medium 1603 may be, but not limited to, random-access storage medium (Random Access Memory,
RAM), read-only storage medium (Read Only Memory, ROM), may be programmed read-only storage medium (Programmable Read-
Only Memory, PROM), erasable read-only storage medium (Erasable Programmable Read-Only Memory,
EPROM), the read-only storage medium of electric erasable (Electric Erasable Programmable Read-Only Memory,
EEPROM) etc..
Particularly, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program product comprising be carried on computer-readable medium
On computer program, which includes to be configured to the program code of method shown in execution flow chart.Such
In embodiment, which can be downloaded and installed from network by communications portion, and/or from detachable media quilt
Installation.When the computer program is executed by central processing unit (CPU), the above-mentioned function limited in the present processes is executed
Energy.It should be noted that computer-readable medium described herein can be computer-readable signal media or computer
Readable storage medium storing program for executing either the two any combination.Computer-readable medium for example can be, but not limited to be electricity, magnetic,
Optical, electromagnetic, the system of infrared ray or semiconductor, device or device, or any above combination.Computer-readable storage medium
The more specific example of matter can include but is not limited to: have the electrical connections of one or more conducting wires, portable computer diskette,
Hard disk, random access storage medium (RAM), read-only storage medium (ROM), erasable type may be programmed read-only storage medium (EPROM or
Flash memory), optical fiber, the read-only storage medium of portable compact disc (CD-ROM), optical storage media part, magnetic storage medium part or
Above-mentioned any appropriate combination.In this application, computer readable storage medium can be it is any include or storage program
Tangible medium, the program can be commanded execution system, device or device use or in connection.And in the application
In, computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal, wherein
Carry computer-readable program code.The data-signal of this propagation can take various forms, including but not limited to electric
Magnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer-readable and deposit
Any computer-readable medium other than storage media, which can send, propagate or transmission configuration is served as reasons
Instruction execution system, device or device use or program in connection.The journey for including on computer-readable medium
Sequence code can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc. are above-mentioned
Any appropriate combination.
It can be write by one or more programming languages or combinations thereof in terms of the operation for being configured to execute the application
Calculation machine program code, described program design language include object oriented program language-such as Java, Smalltalk, C
++, further include conventional procedural programming language-such as " C " language or similar programming language.Program code can
Fully to execute, partly execute on the user computer on the user computer, be executed as an independent software package,
Part executes on the remote computer or executes on a remote computer or server completely on the user computer for part.
In situations involving remote computers, remote computer can pass through the network of any kind: including local area network (LAN) or extensively
Domain net (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as provided using Internet service
Quotient is connected by internet).
Flow chart and block diagram in attached drawing are illustrated according to the system of the various embodiments of the application, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, program segment or code of table, a part of the module, program segment or code are matched comprising one or more
It is set to the executable instruction of logic function as defined in realizing.There is specific precedence relationship in above-mentioned specific embodiment, but these are successively
Relationship is only exemplary, when specific implementation, these steps may less, more or execution sequence have adjustment.I.e.
In some implementations as replacements, function marked in the box can also be sent out in a different order than that indicated in the drawings
It is raw.For example, two boxes succeedingly indicated can actually be basically executed in parallel, they sometimes can also be by opposite suitable
Sequence executes, and this depends on the function involved.It is also noted that each box and block diagram in block diagram and or flow chart
And/or the combination of the box in flow chart, can with execute as defined in functions or operations dedicated hardware based system come
It realizes, or can realize using a combination of dedicated hardware and computer instructions.
Being described in unit involved in the embodiment of the present application can be realized by way of software, can also be by hard
The mode of part is realized.Described unit also can be set in the processor, for example, can be described as: a kind of processor packet
It includes virtual relation and establishes unit, resource recommendation unit.Wherein, the title of these units is not constituted under certain conditions to the list
Restriction of member itself, for example, virtual relation establish unit be also described as " according to user's clustering rule predetermined,
Establish the unit of the virtual relation between the first user and second user ".
As on the other hand, present invention also provides a kind of computer-readable mediums, are stored thereon with computer program, should
The method as described in above-mentioned any embodiment is realized when program is executed by processor.
As on the other hand, present invention also provides a kind of computer-readable medium, which be can be
Included in device described in above-described embodiment；It is also possible to individualism, and without in the supplying device.Above-mentioned calculating
Machine readable medium carries one or more program, when said one or multiple programs are executed by the device, so that should
Device: according to user's clustering rule predetermined, the virtual relation between the first user and second user is established；According to described
Association and the resource recommendation of first user are given described second by the virtual relation between the first user and the second user
User.
Statement " first ", " second " used in various embodiments of the present disclosure, " first " or " described the
Two " can modify various parts and unrelated with sequence and/or importance, but these statements do not limit corresponding component.The above statement
It is only configured to the purpose for distinguishing element and other elements.For example, the first user equipment and second user equipment indicate different
User equipment, although being both user equipment.For example, first element can under the premise of without departing substantially from the scope of the present disclosure
Referred to as second element, similarly, second element can be referred to as first element.
When an element (for example, first element) referred to as " (operationally or can with another element (for example, second element)
Communicatedly) connection " or " (operationally or communicably) being attached to " another element (for example, second element) or " being connected to " are another
When one element (for example, second element), it is thus understood that an element is connected directly to another element or an element
Another element is indirectly connected to via another element (for example, third element).On the contrary, it is appreciated that when element (for example,
First element) it referred to as " is directly connected to " or when " directly connection " to another element (second element), then without element (for example, the
Three elements) it is inserted between the two.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that invention scope involved in the application, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from foregoing invention design, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed herein
Can technical characteristic replaced mutually and the technical solution that is formed.
Claims (27)
1. a kind of resource recommendation method characterized by comprising
According to user's clustering rule predetermined, the virtual relation between the first user and second user is established；
According to the virtual relation between first user and the second user, association and the resource of first user are pushed away
It recommends to the second user.
2. the method according to claim 1, wherein first user and second user are respectively provided with uniqueness
User identifier；Accordingly, according to user's clustering rule predetermined, the virtual pass between the first user and second user is established
System, comprising: according to user's clustering rule predetermined, establish the first user and the corresponding uniqueness user of second user
Concordance list between mark, to establish virtual relation.
3. the method according to claim 1, wherein further include: determine that first user and described second uses
The attribute vector at family；
Accordingly, according to user's clustering rule predetermined, the virtual relation between the first user and second user is established, is wrapped
It includes: being established according to user's clustering rule predetermined, first user and the corresponding attribute vector of second user empty
Quasi- relationship.
4. the method according to claim 1, wherein further include: determine first user and second user
Behavior record；
Accordingly, according to user's clustering rule predetermined, the virtual relation between the first user and second user is established, is wrapped
It includes: being established according to user's clustering rule predetermined, first user and the corresponding behavior record of second user empty
Quasi- relationship.
5. the method according to claim 1, wherein further include: determine first user and second user
Interest tags；
Accordingly, according to user's clustering rule predetermined, the virtual relation between the first user and second user is established, is wrapped
It includes: being established according to user's clustering rule predetermined, first user and the corresponding interest tags of second user empty
Quasi- relationship.
6. the method according to claim 1, wherein establishing first according to user's clustering rule predetermined
Virtual relation between user and second user, comprising: according to user's clustering rule predetermined, with first user and
Second user is that node establishes customer relationship topological structure, and the customer relationship topological structure characterizes the virtual relation.
7. the method according to claim 1, wherein further include: it generates first user and described second and uses
The electronic business card at family；
Accordingly, according to user's clustering rule predetermined, the virtual relation between the first user and second user is established, is wrapped
It includes: according to user's clustering rule predetermined and first user and the corresponding electronics name of the second user
Piece establishes the virtual relation between the first user and second user.
8. the method according to claim 1, wherein according between first user and the second user
Virtual relation with the resource recommendation of first user gives association to the second user, comprising: according to first user and
Association and the resource of first user are directly pushed to the second user by the virtual relation between the second user；
Alternatively, the resource supplying of association and first user is given described if the second user enables resource subscription mode
Second user.
9. the method according to claim 1, wherein further include: recommendation list is generated, is wrapped in the recommendation list
Multiple resources of association with first user are included, different resources has different recommended priorities；
Accordingly, according to the virtual relation between first user and the second user, by association and first user
Resource recommendation give the second user, comprising:, will according to the virtual relation between first user and the second user
Multiple resources in the recommendation list recommend the second user in batch or one by one.
10. according to the method described in claim 9, it is characterized by further comprising: according to the recommended priority threshold value of setting, with
The resource recommendation greater than recommended priority threshold value is filtered out from the recommendation list to the second user.
11. the method according to claim 1, wherein further include: the second user is obtained to described in recommendation
The consumption of resource is as a result, to update user's clustering rule according to the consumption result.
12. according to the method for claim 11, which is characterized in that further include: if what the second user preview was recommended
The resource then generates the information that the resource of recommendation has been consumed and is pushed to first user, the money of recommendation
The information that source has been consumed is as the consumption result.
13. -12 described in any item methods according to claim 1, which is characterized in that further include: it is regular according to the display of setting,
The resource of recommendation is emphasized display processing.
14. a kind of resource recommendation device characterized by comprising
First program unit is configured to be established between the first user and second user according to user's clustering rule predetermined
Virtual relation；
Second program unit, is configured to according to the virtual relation between first user and the second user, will association with
The resource recommendation of first user gives the second user.
15. device according to claim 14, which is characterized in that first user and second user are assigned uniquely
Property user identifier；Accordingly, first program unit is further configured to be established according to user's clustering rule predetermined
Concordance list between first user and the corresponding uniqueness user identifier of second user, to establish virtual relation.
16. device according to claim 14, which is characterized in that further include: third program unit is configured to described in determination
The attribute vector of first user and the second user；
First program unit is further configured to according to user's clustering rule predetermined, first user and second
The corresponding attribute vector of user establishes virtual relation.
17. device according to claim 14, which is characterized in that further include: the 4th program unit is configured to described in determination
The behavior record of first user and second user；
First program unit is further configured to according to user's clustering rule predetermined, first user and second
The corresponding behavior record of user establishes virtual relation.
18. device according to claim 14, which is characterized in that further include: the 5th program unit is configured to described in determination
The interest tags of first user and second user；
First program unit is further configured to according to user's clustering rule predetermined, first user and second
The corresponding interest tags of user establish virtual relation.
19. device according to claim 14, which is characterized in that first program unit is further configured to according to pre-
The user's clustering rule first defined establishes customer relationship topological structure using first user and second user as node, described
Customer relationship topological structure characterizes the virtual relation.
20. device according to claim 14, which is characterized in that further include: the 6th program unit is configured to described in generation
The electronic business card of first user and the second user；
First program unit be further configured to according to user's clustering rule predetermined and first user and
The corresponding electronic business card of the second user, establishes the virtual relation between the first user and second user.
21. device according to claim 14, which is characterized in that second program unit is further configured to according to institute
The virtual relation between the first user and the second user is stated, association and the resource of first user are directly pushed to institute
State second user；Alternatively, if the second user enables resource subscription mode, by the resource of association and first user
It is pushed to the second user.
22. device according to claim 14, which is characterized in that further include: the 7th program unit is configured to generate and recommend
List, includes multiple resources of association with first user in the recommendation list, and different resources has different recommendations
Priority；
Second program unit is further configured to according to the virtual relation between first user and the second user,
Multiple resources in the recommendation list are recommended into the second user in batch or one by one.
23. device according to claim 22, which is characterized in that the 7th program unit is further configured to basis and sets
Fixed recommended priority threshold value, to filter out the resource recommendation greater than recommended priority threshold value from the recommendation list to described
Second user.
24. device according to claim 14, which is characterized in that further include: the 8th program unit is configured to described in acquisition
Second user is to the consumption of the resource of recommendation as a result, to update user's clustering rule according to the consumption result.
25. device according to claim 24, which is characterized in that if the money that the second user preview is recommended
Source, the 8th program unit are further configured to, and are generated the information that the resource of recommendation has been consumed and are pushed to described
First user, the information that the resource of recommendation has been consumed is as the consumption result.
26. a kind of equipment/terminal/server, comprising:
One or more processors；
Storage medium is configured to store one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
The now method as described in any in claim 1-13.
27. a kind of computer-readable medium, is stored thereon with computer program, which is characterized in that the program is executed by processor
Method of the Shi Shixian as described in any in claim 1-13.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810912187.0A CN109063157A (en) | 2018-08-10 | 2018-08-10 | Resource recommendation method and its device, equipment/terminal/server, computer-readable medium |
| PCT/IB2018/056489 WO2020030959A1 (en) | 2018-08-10 | 2018-08-27 | Resource recommendation method and apparatus, device/terminal/server, and computer-readable medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810912187.0A CN109063157A (en) | 2018-08-10 | 2018-08-10 | Resource recommendation method and its device, equipment/terminal/server, computer-readable medium |
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| Publication Number | Publication Date |
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| CN109063157A true CN109063157A (en) | 2018-12-21 |
Family
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| CN201810912187.0A Pending CN109063157A (en) | 2018-08-10 | 2018-08-10 | Resource recommendation method and its device, equipment/terminal/server, computer-readable medium |
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| WO (1) | WO2020030959A1 (en) |
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| WO2020030959A1 (en) | 2020-02-13 |
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