CN105468723B - Information recommendation method and device - Google Patents
Information recommendation method and device Download PDFInfo
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- CN105468723B CN105468723B CN201510812432.7A CN201510812432A CN105468723B CN 105468723 B CN105468723 B CN 105468723B CN 201510812432 A CN201510812432 A CN 201510812432A CN 105468723 B CN105468723 B CN 105468723B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The disclosure is directed to information recommendation method and devices.This method comprises: obtaining the communication information between this end subscriber and peer user；The feature for the recommendation information being adapted to described end subscriber is determined according to the communication information；The feature for the recommendation information being adapted to described end subscriber is sent to the server, the feature for the recommendation information being adapted to described end subscriber is used for by the server as the recommendation information being adapted to according to acquisition with described end subscriber, and the recommendation information being adapted to described end subscriber is pushed to the user terminal；Receive and export the recommendation information of the server push being adapted to described end subscriber.The technical solution, it can determine to adapt to the feature of the recommendation information of user according to communication information, and the feature of the recommendation information is sent to server, so as to realize the accurate push of recommendation information, the recommendation information for ensuring server push is the interested content of user, and then improves the terminal experience of user.
Description
Technical field
This disclosure relates to technical field of information recommendation more particularly to information recommendation method and device.
Background technique
Currently, server is when pushing some shopping, news information to user terminal, the history for being often all based on user is clear
Look at what record was pushed, but clue used in this recommendation is excessively single, if user is never in online browsing phase
Hold inside the Pass, just can not accurately recommend the information of some suitable users to user, this reduces the uses of a part of new user
Experience.
Summary of the invention
The embodiment of the present disclosure provides information recommendation method and device.The technical solution is as follows:
According to the first aspect of the embodiments of the present disclosure, a kind of information recommendation method is provided, comprising:
Obtain the communication information between this end subscriber and peer user；
The feature for the recommendation information being adapted to described end subscriber is determined according to the communication information；
The feature for the recommendation information being adapted to described end subscriber is sent to the server, it is suitable with described end subscriber
The feature for the recommendation information matched is used for by the server as the recommendation information being adapted to according to acquisition with described end subscriber, and
The recommendation information being adapted to described end subscriber is pushed to the user terminal；
Receive and export the recommendation information of the server push being adapted to described end subscriber.
In one embodiment, described that the recommendation information being adapted to described end subscriber is determined according to the communication information
Feature, comprising:
The customer relationship between described end subscriber and the peer user is determined according to the communication information；
Determine the relationship type of the customer relationship；
The feature of the communication information is obtained, the feature of the communication information includes the time included by the communication information
Information, location information, in action message at least one of；
The feature of the relationship type and/or the communication information that determine the customer relationship is described and described end subscriber
The feature of the recommendation information of adaptation；Alternatively,
Recommended keywords are determined according to the feature of the relationship type of the customer relationship and/or the communication information, by institute
State feature of the recommended keywords as the recommendation information.
In one embodiment, the feature by the recommendation information being adapted to described end subscriber is sent to the service
Device, comprising:
Judge whether that the transmission confirmation for receiving described end subscriber input instructs；
When receiving the transmission confirmation instruction, the feature for the recommendation information being adapted to described end subscriber is sent to
The server.
In one embodiment, the communication information includes dialog context, short message content, instant communication information content, net
Any one of network message content, address list content are multinomial.
According to the second aspect of an embodiment of the present disclosure, another information recommendation method is proposed, server is used for, comprising:
Receive the feature for the recommendation information being adapted to this end subscriber of the user terminal that user terminal is sent；
What the feature determination for the recommendation information being adapted to according to the user with the user terminal was pushed to the user terminal
Recommendation information；
The recommendation information is pushed into the user terminal.
In one embodiment, the feature for the recommendation information that the user with the user terminal is adapted to, including following
It is one or more:
The relationship type of customer relationship between this end subscriber and peer user of the user terminal；
The feature of the described communication information between end subscriber and peer user, the feature of the communication information include: institute
State temporal information included by communication information, location information, action message, in event at least one of；
Recommended keywords, the recommended keywords are as user terminal relationship type according to belonging to the customer relationship
And/or the feature of the communication information is determined.
In one embodiment, the feature of the recommendation information being adapted to according to the user of the user terminal determines
The recommendation information pushed to the user terminal, comprising:
Determining TV programme, news information, advertising information, game information or purchase with the characteristic matching of the recommendation information
Object information.
In one embodiment, described by the recommendation when the customer relationship includes a plurality of types of customer relationships
Information pushes to the user terminal, comprising:
Determine number of users corresponding to every class customer relationship；
Recommendation information corresponding with every class customer relationship in the recommendation information is determined according to the number of users
Push frequency；
Recommendation information corresponding with every class customer relationship is pushed into the user terminal according to the push frequency.
In one embodiment, the method also includes:
According to temporal information included by the communication information, the push time of the recommendation information is determined；
It is described that the recommendation information is pushed into the user terminal, comprising:
According to the push time, the recommendation information is pushed into the user terminal.
According to the third aspect of an embodiment of the present disclosure, a kind of information recommending apparatus is proposed, user terminal is used for, comprising:
Module is obtained, for obtaining the communication information between this end subscriber and peer user；
Determining module, for determining the feature for the recommendation information being adapted to described end subscriber according to the communication information；
Sending module, for the feature for the recommendation information being adapted to described end subscriber to be sent to the server, with
The feature of the recommendation information of described end subscriber adaptation is used to be used as by the server and fit according to acquisition with described end subscriber
The recommendation information matched, and the recommendation information being adapted to described end subscriber is pushed to the user terminal；
Processing module, for receiving and exporting the recommendation information of the server push being adapted to described end subscriber.
In one embodiment, the determining module includes:
First determines submodule, for being determined between described end subscriber and the peer user according to the communication information
Customer relationship；
Second determines submodule, for determining the relationship type of the customer relationship；
Acquisition submodule, for obtaining the feature of the communication information, the feature of the communication information includes the communication
Temporal information included by information, location information, in action message at least one of；
Third determines submodule, for determining the relationship type of the customer relationship and/or the feature of the communication information
For the feature of the recommendation information being adapted to described end subscriber；Alternatively,
4th determines submodule, for according to the relationship type of the customer relationship and/or the feature of the communication information
Recommended keywords are determined, using the recommended keywords as the feature of the recommendation information.
In one embodiment, the sending module includes:
Judging submodule, for judging whether that the transmission confirmation for receiving described end subscriber input instructs；
Sending submodule, the recommendation for will be adapted to described end subscriber when receiving the transmission confirmation instruction
The feature of information is sent to the server.
In one embodiment, the communication information includes dialog context, short message content, instant communication information content, net
Any one of network message content, address list content are multinomial.
According to a fourth aspect of embodiments of the present disclosure, another information recommending apparatus is proposed, server is used for, comprising:
Receiving module, the spy of the recommendation information being adapted to this end subscriber of the user terminal for receiving user terminal transmission
Sign；
First determining module, for according to the feature determination of the recommendation information being adapted to the user of the user terminal to
The recommendation information of the user terminal push；
Pushing module, for the recommendation information to be pushed to the user terminal.
In one embodiment, the feature for the recommendation information that the user with the user terminal is adapted to, including following
It is one or more:
The relationship type of customer relationship between this end subscriber and peer user of the user terminal；
The feature of the described communication information between end subscriber and peer user, the feature of the communication information include: institute
State temporal information included by communication information, location information, action message, in event at least one of；
Recommended keywords, the recommended keywords are as user terminal relationship type according to belonging to the customer relationship
And/or the feature of the communication information is determined.
In one embodiment, first determining module includes:
First determines submodule, for determining TV programme with the characteristic matching of the recommendation information, news information, wide
Accuse information, game information or shopping information.
In one embodiment, the pushing module includes:
Second determines submodule, for when the customer relationship includes a plurality of types of customer relationships, determining that every class is used
Number of users corresponding to the relationship of family；
Third determines submodule, closes for being determined in the recommendation information according to the number of users with every class user
It is the push frequency of corresponding recommendation information；
First push submodule, for will recommendation information corresponding with every class customer relationship according to the push frequency
Push to the user terminal.
In one embodiment, described device further include:
Second determining module determines the recommendation information for the temporal information according to included by the communication information
Push the time；
The pushing module includes:
Second push submodule, for according to the push time, the recommendation information to be pushed to the user terminal.
According to a fifth aspect of the embodiments of the present disclosure, another information recommending apparatus is proposed, comprising:
Processor；
Memory for storage processor executable instruction；
Wherein, the processor is configured to:
Obtain the communication information between this end subscriber and peer user；
The feature for the recommendation information being adapted to described end subscriber is determined according to the communication information；
The feature for the recommendation information being adapted to described end subscriber is sent to the server, it is suitable with described end subscriber
The feature for the recommendation information matched is used for by the server as the recommendation information being adapted to according to acquisition with described end subscriber, and
The recommendation information being adapted to described end subscriber is pushed to the user terminal；
Receive and export the recommendation information of the server push being adapted to described end subscriber.
According to a sixth aspect of an embodiment of the present disclosure, proposing another information recommending apparatus includes:
Processor；
Memory for storage processor executable instruction；
Wherein, the processor is configured to:
Receive the feature for the recommendation information being adapted to this end subscriber of the user terminal that user terminal is sent；
What the feature determination for the recommendation information being adapted to according to the user with the user terminal was pushed to the user terminal
Recommendation information；
The recommendation information is pushed into the user terminal.
The technical scheme provided by this disclosed embodiment can include the following benefits:
The technical scheme provided by this disclosed embodiment can determine the recommendation for adapting to user according to communication information
The feature of breath, and the feature of the recommendation information is sent to server, so as to realize the accurate push of recommendation information, it is ensured that service
The recommendation information of device push is the interested content of user, and then improves the terminal experience of user.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
The disclosure can be limited.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention
Example, and be used to explain the principle of the present invention together with specification.
Fig. 1 is a kind of flow chart of information recommendation method shown according to an exemplary embodiment.
Fig. 2A is the flow chart of another information recommendation method shown according to an exemplary embodiment.
Fig. 2 B is the flow chart according to another information recommendation method shown in an exemplary embodiment one.
Fig. 3 is the flow chart according to another information recommendation method shown in an exemplary embodiment one.
Fig. 4 is the flow chart according to another information recommendation method shown in an exemplary embodiment one.
Fig. 5 is the flow chart according to another information recommendation method shown in an exemplary embodiment one.
Fig. 6 is the flow chart according to another information recommendation method shown in an exemplary embodiment one.
Fig. 7 is the flow chart according to another information recommendation method shown in an exemplary embodiment one.
Fig. 8 is a kind of block diagram of information recommending apparatus shown according to an exemplary embodiment.
Fig. 9 A is the block diagram of another information recommending apparatus shown according to an exemplary embodiment.
Fig. 9 B is the block diagram of another information recommending apparatus shown according to an exemplary embodiment.
Figure 10 is the block diagram of another information recommending apparatus shown according to an exemplary embodiment.
Figure 11 is the block diagram of another information recommending apparatus shown according to an exemplary embodiment.
Figure 12 is the block diagram of another information recommending apparatus shown according to an exemplary embodiment.
Figure 13 is the block diagram of another information recommending apparatus shown according to an exemplary embodiment.
Figure 14 is the block diagram of another information recommending apparatus shown according to an exemplary embodiment.
Figure 15 is the block diagram shown according to an exemplary embodiment for being suitable for referring to information recommending apparatus.
Figure 16 is the block diagram shown according to an exemplary embodiment for being suitable for referring to information recommending apparatus.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistented with the present invention.On the contrary, they be only with it is such as appended
The example of device and method being described in detail in claims, some aspects of the invention are consistent.
Currently, server is when pushing some shopping, news information to user terminal, the history for being often all based on user is clear
Look at what record was pushed, but clue used in this recommendation is excessively single, if user is never in online browsing phase
Hold inside the Pass, just can not accurately recommend the information of some suitable users to user, this reduces the uses of a part of new user
Experience.
In order to solve the above-mentioned technical problem, the embodiment of the present disclosure provides a kind of information recommendation method, and this method can be used for
In information recommendation program, system or device, as shown in Figure 1, the method comprising the steps of S101-S104:
In step s101, the communication information between this end subscriber and peer user is obtained；Wherein, communication information can be
Any one of dialog context, short message content, instant communication information content, network messaging content, address list content are multinomial.
In step s 102, the feature for the recommendation information being adapted to this end subscriber is determined according to communication information；
By analyzing server according to the communication information of this end subscriber local terminal should be adapted to what user pushed
The feature of the recommendation information of user.
In step s 103, the feature for the recommendation information being adapted to this end subscriber is sent to server, with this end subscriber
The feature of the recommendation information of adaptation is used to be used as by server according to the recommendation information that is adapted to this end subscriber of acquisition, and to user
The recommendation information that end push is adapted to this end subscriber；
In step S104, the recommendation information of simultaneously export server push being adapted to this end subscriber is received.
By the way that the feature for the recommendation information for adapting to this end subscriber determined is sent to server, server can be made
It most adapts to the recommendation information of this end subscriber out according to the signature analysis of the recommendation information, and the recommendation information is pushed into user
End avoids blindly pushing to realize accurate push, allows users to the recommendation information for receiving oneself needs, and can be with
Increase the clicking rate of information, and the usage experience of high user.
As shown in Figure 2 A, in one embodiment, above-mentioned steps S102 can be performed as:
In step A1, the customer relationship between this end subscriber and peer user is determined according to communication information；
In step A2, the relationship type of customer relationship is determined；
The customer relationship between this end subscriber and different peer users can be accurately determined out according to communication information, into
And determine the relationship type of customer relationship, i.e. whether this end subscriber and peer user is teacher-student relationship, relationship between superior and subordinate, emotional affection
Relationship etc., and these relationship types are the important features of recommendation information, influence whether the type and range of recommendation information, can be made
Server avoids the occurrence of accidentally push or bothers user since push accuracy rate is not high.
In step A3, the feature of communication information is obtained, the feature of communication information includes the time included by communication information
Information, location information, in action message at least one of；
Due to may include in itself in communication information the recent activity wish of user, planning etc. and the activity wish,
Therefore the information such as the specific arrangement when and where of planning when obtaining the feature of recommendation information, inevitably need to obtain
The feature of communication information itself, and precision get the feature of the communication information after, also can be realized recommendation for server
The accurate push of breath is laid a good foundation.
In step A4, the feature of the relationship type and/or communication information that determine customer relationship is to be adapted to this end subscriber
Recommendation information feature；
It, can be only using one of them as recommendation after the feature of the relationship type, communication information of determining customer relationship
The two can also be combined and be sent to server, certainly, recommendation together as the feature of recommendation information by the feature of information
The feature of breath is more, and server is more accurate for the recommendation information of user terminal push, such as: when the feature of recommendation information is local terminal
Between user and peer user be master-apprentice relation when, server will before Teacher's Day or on the day of for this end subscriber push
Books can be given, when the feature of recommendation information be between this end subscriber and peer user is companionship and this end subscriber is liked
When eating A food, server will specially push the link of some A food before corresponding red-letter day arrives for this end subscriber, and
It is not the information for loosely pushing some fresh flowers, chocolate etc.
Alternatively,
As shown in Figure 2 B, in one embodiment, above-mentioned steps S102 can be performed as:
In step A5, recommended keywords are determined according to the feature of the relationship type of customer relationship and/or communication information, it will
Feature of the recommended keywords as recommendation information.
Due to directly using the feature of the relationship type for the customer relationship determined and/or communication information as recommendation information
Feature is sent to server together and is likely to result in communication information leakage, is intercepted and influenced the privacy of user by illegal user, because
This, user terminal may further determine that local terminal after the feature of the relationship type and/or communication information of determining customer relationship
User it is expected the recommended keywords of the recommendation information of push, in this way, being sent to recommended keywords as the feature of recommendation information
After server, server will directly determine the recommendation information obtained desired by this end subscriber, then send the recommendation information
To this end subscriber, the accurate push of recommendation information not only can be realized, meet the information requirement of user, but also can be true
The private communication information at warranty family not will be leaked to third party, will not even be obtained by server, it is ensured that the privacy of user.
As shown in figure 3, in one embodiment, above-mentioned steps S103 can be performed as:
In step bl is determined, judge whether that the transmission confirmation for receiving the input of this end subscriber instructs；
In step B2, when receiving transmission confirmation instruction, the feature for the recommendation information being adapted to this end subscriber is sent out
It send to server.
Since the feature of recommendation information is related to the communication privacy of user, in the recommendation for being adapted to this end subscriber
The feature of breath is sent to before server, it can be determined that under whether obtain user authorization send confirmation instruction, if user
Authorized user end can send the feature of the recommendation information, then the feature of the recommendation information is sent to server, certainly, such as
Fruit user's with no authorized user terminal is not received by transmission confirmation instruction, then says that user is not intended to the feature of the recommendation information
It is sent to server, then the feature of the recommendation information is not sent to server, to ensure that privacy of user communication information will not be by
Leakage.
In one embodiment, communication information may include dialog context, short message content, instant communication information content, network
Any one of message content, address list content are multinomial.
The feature for the recommendation information being adapted to this end subscriber can be precisely determined by communication information for local terminal, and should
The feature of recommendation information is sent to server so that server realize precisely push, and then improve user experience, and avoid by
Less accurate in recommendation information, specific aim is not strong, and bothers user.
As shown in figure 4, the disclosure additionally provides a kind of information recommendation method, it to be used for server, comprising:
In step S401, the feature for the recommendation information being adapted to this end subscriber of user terminal that user terminal is sent is received；
In step S402, what the feature determination for the recommendation information being adapted to according to the user with user terminal was pushed to user terminal
Recommendation information；
In step S403, recommendation information is pushed into user terminal.
It, can be to pushing away after receiving the feature for the recommendation information being adapted to this end subscriber of user terminal of user terminal transmission
The feature for recommending information is analyzed to determine the recommendation information being adapted to user terminal or directly according in the feature of recommendation information
Recommended keywords determine the recommendation information including the recommended keywords, and the recommendation information determined is sent to user
End, to realize accurate recommendation, it is ensured that the recommendation information determined be this end subscriber it is interested or need information, avoid due to
The recommendation information being pushed out is not adapted to and bothers user.
In one embodiment, the feature for the recommendation information being adapted to the user of user terminal, including it is any one of following or more
:
The relationship type of customer relationship between this end subscriber and peer user of user terminal；
The feature of communication information between this end subscriber and peer user, the feature of communication information include: communication information institute
Including temporal information, location information, action message, in event at least one of；
According to the relationship type of customer relationship, server can determine the range and type of recommendation information, i.e., if closed
Set type is teacher-student relationship, and server will push some instructional videos, study website, examination information etc. as recommendation information
To user terminal, if relationship type is lovers' relationship, server will push away chocolate, fresh flower, jewellery etc. as recommendation information
It send to user terminal, to ensure recommendation information as the interested scope of user terminal；
It, can also be with specific reference in the specific activity for including in the feature of communication information after determining the scope of recommendation information
Appearance, activity time and activity venue determine recommendation information in further detail, thus are avoided that appearance push deviation, make recommendation information
It is more accurate, highly match with the actual use demand of user, such as in the relationship type for determining this end subscriber and peer user
It, then will be when recognizing that this end subscriber is liked eating B chocolate, not liking fresh flower further through communication information after being lovers' relationship
Corresponding red-letter day is that this end subscriber pushes the link of some B chocolates, and no longer pushes this end subscriber such as fresh flower not before arriving
Too interested content.
Recommended keywords, recommended keywords are as user terminal relationship type according to belonging to customer relationship and/or communication information
Feature determine.
Certainly, if the feature of the recommendation information received is directly exactly the recommendation information that this end subscriber has been analyzed
Recommended keywords, illustrate which recommendation information the local user of user terminal clear tell the server user terminal needs, then
Server can scan for directly in local system according to the recommended keywords, search out and match with recommended keywords
Recommendation information (information i.e. comprising completely or at least partially keyword) pushes to user terminal, to meet the actual use need of user
It asks.
As shown in figure 5, in one embodiment, above-mentioned steps S402 can be performed as:
In step C1, determining TV programme, news information, advertising information, game with the characteristic matching of recommendation information
Information or shopping information.
The type of recommendation information is very more, the above- mentioned information including but not limited to match with the feature of recommendation information, also
It can be travel information, the various information that can satisfy user's life requirement such as information of making a reservation.
As shown in fig. 6, in one embodiment, when customer relationship includes a plurality of types of customer relationships, above-mentioned steps
S403 can be performed as:
In step D1, number of users corresponding to every class customer relationship is determined；
In step d 2, it is determined in recommendation information according to number of users and is pushed away with every corresponding recommendation information of class customer relationship
Send frequency；
In step D3, recommendation information corresponding with every class customer relationship is pushed into user terminal according to push frequency.
Due to more compared with the peer user that this end subscriber is communicated, the user of this end subscriber and peer user is closed
The relationship type of system may be just relatively more, as the relationship type of this end subscriber and peer user has lovers, colleague, friend, teachers and students
Etc. relationships, and the number of users of every class relational users is more, characterizes contacting more for the peer user of this end subscriber and this kind of relationship
Frequently, more need relevant such recommendation information, conversely, the number of users of every class relational users is smaller, characterize this end subscriber with
The connection frequency of the peer user of this kind of relationship is lower, also just therefore passes through basis without the need for relevant such recommendation information
Number of users corresponding to every class customer relationship can determine and accurately determine out the corresponding recommendation information of every class customer relationship
Frequency is pushed, and is suitble to the push frequency of this end subscriber to push to by correspondence the corresponding recommendation information of inhomogeneous customer relationship
User terminal, to avoid push frequency it is excessively high and bother this end subscriber, brought puzzlement to user or push underfrequency and can not and
When meet the use demand of this end subscriber.
As shown in fig. 7, in one embodiment, method further include:
In step s 701, the temporal information according to included by communication information determines the push time of recommendation information；
Above-mentioned steps S403 can be performed as:
In step D4, according to the push time, recommendation information is pushed into user terminal.
Certainly, when recommendation information is pushed to user terminal, it can not only be pushed according to different push frequencies, may be used also
To select the suitable push time to be pushed, user is both left alone to realize, also ensures that this end subscriber can in time sufficiently
Various recommendation informations are grasped, it therefore, can be according to the temporal information in communication information when recommendation information is pushed to user terminal
(i.e. in relation to movable temporal information in communication information) determines push time of recommendation information, will recommend in the push time
Information pushes to user terminal, so that user be made to learn the recommendation information in time, such as: when recommendation information is program, and communicate letter
It include wishing that the XX point on Friday watches the program in the chat record or message registration of this end subscriber and peer user in breath
Replay video when, the push time that recommendation information can be determined according to the XX point, such as determine Friday XX point before or
10 minutes later are the push time, to push the replay of the program in 10 minutes before or after the XX on Friday point
Video or its link to user terminal；Alternatively, recommendation information is program, and in communication information this end subscriber and peer user chat
Include wishing when the XXX point on Monday watches the live broadcast of the program on time in record or message registration, can determine this
XXX point be push the time, Monday XXX on time by the link push of the live video of the program to user terminal.
It certainly, can also be according to determine when pushing the time not only can be according to temporal information included in communication information
The push time is determined according to the time of origin of the communication information, date or recent red-letter day.
The above- mentioned information recommended method that the corresponding embodiment of the present disclosure provides, the embodiment of the present disclosure also provide a kind of information recommendation
Device is configured as obtaining logical between this end subscriber and peer user as shown in figure 8, the device includes: to obtain module 801
Interrogate information；
Determining module 802 is configured as determining the recommendation information being adapted to described end subscriber according to the communication information
Feature；
Sending module 803 is configured as the feature for the recommendation information being adapted to described end subscriber being sent to the clothes
Be engaged in device, the feature for recommendation information be adapted to described end subscriber be configured as by the server be used as according to acquisition with it is described
The recommendation information of this end subscriber adaptation, and the recommendation information being adapted to described end subscriber is pushed to the user terminal；
Processing module 804 is configured as receiving and exporting pushing away with what described end subscriber was adapted to for the server push
Recommend information.
As shown in Figure 9 A, in one embodiment, the determining module 802 includes:
First determines submodule 8021, is configured as determining described end subscriber and the opposite end according to the communication information
Customer relationship between user；
Second determines submodule 8022, is configured to determine that the relationship type of the customer relationship；
Acquisition submodule 8023 is configured as obtaining the feature of the communication information, and the feature of the communication information includes
Temporal information included by the communication information, location information, in action message at least one of；
Third determines submodule 8024, is configured to determine that the relationship type and/or communication letter of the customer relationship
The feature of breath is the feature of the recommendation information being adapted to described end subscriber；Alternatively,
As shown in Figure 9 B, in one embodiment, the determining module 802 includes:
4th determines submodule 8025, is configured as being believed according to the relationship type of the customer relationship and/or the communication
The feature of breath determines recommended keywords, using the recommended keywords as the feature of the recommendation information.
As shown in Figure 10, in one embodiment, the sending module 803 includes:
Judging submodule 8031 is configured as judging whether to receive the transmission confirmation instruction of described end subscriber input；
Sending submodule 8032 is configured as to fit with described end subscriber when receiving the transmission confirmation instruction
The feature for the recommendation information matched is sent to the server.
In one embodiment, the communication information includes dialog context, short message content, instant communication information content, net
Any one of network message content, address list content are multinomial.
As shown in figure 11, according to a fourth aspect of embodiments of the present disclosure, another information recommending apparatus is proposed, is configured
For server, comprising:
Receiving module 1101 is configured as receiving the recommendation being adapted to this end subscriber of the user terminal that user terminal is sent
The feature of information；
First determining module 1102 is configured as the spy according to the recommendation information being adapted to the user of the user terminal
Sign determines the recommendation information pushed to the user terminal；
Pushing module 1103 is configured as the recommendation information pushing to the user terminal.
In one embodiment, the feature for the recommendation information that the user with the user terminal is adapted to, including following
It is one or more:
The relationship type of customer relationship between this end subscriber and peer user of the user terminal；
The feature of the described communication information between end subscriber and peer user, the feature of the communication information include: institute
State temporal information included by communication information, location information, action message, in event at least one of；
Recommended keywords, the recommended keywords are as user terminal relationship type according to belonging to the customer relationship
And/or the feature of the communication information is determined.
As shown in figure 12, in one embodiment, first determining module 1102 includes:
First determines submodule 11021, is configured to determine that with the TV programme of the characteristic matching of the recommendation information, newly
Hear information, advertising information, game information or shopping information.
As shown in figure 13, in one embodiment, the pushing module 1103 includes:
Second determines submodule 11031, is configured as when the customer relationship includes a plurality of types of customer relationships, really
Number of users corresponding to fixed every class customer relationship；
Third determines submodule 11032, be configured as being determined according to the number of users in the recommendation information with it is described
The push frequency of the corresponding recommendation information of every class customer relationship；
First push submodule 11033, being configured as will be corresponding with every class customer relationship according to the push frequency
Recommendation information push to the user terminal.
As shown in figure 14, in one embodiment, described device further include:
Second determining module 1401 is configured as the temporal information according to included by the communication information, pushes away described in determination
Recommend the push time of information；
The pushing module 1103 includes:
Second push submodule 11034 is configured as pushing to the recommendation information described according to the push time
User terminal.
According to a fifth aspect of the embodiments of the present disclosure, a kind of information recommending apparatus is provided, comprising:
Processor；
Memory for storage processor executable instruction；
Wherein, processor is configured as:
Obtain the communication information between this end subscriber and peer user；
The feature for the recommendation information being adapted to described end subscriber is determined according to the communication information；
The feature for the recommendation information being adapted to described end subscriber is sent to the server, it is suitable with described end subscriber
The feature for the recommendation information matched is used for by the server as the recommendation information being adapted to according to acquisition with described end subscriber, and
The recommendation information being adapted to described end subscriber is pushed to the user terminal；
Receive and export the recommendation information of the server push being adapted to described end subscriber.
Above-mentioned processor is also configured to:
The feature that the recommendation information being adapted to described end subscriber is determined according to the communication information, comprising:
The customer relationship between described end subscriber and the peer user is determined according to the communication information；
Determine the relationship type of the customer relationship；
The feature of the communication information is obtained, the feature of the communication information includes the time included by the communication information
Information, location information, in action message at least one of；
The feature of the relationship type and/or the communication information that determine the customer relationship is described and described end subscriber
The feature of the recommendation information of adaptation；Alternatively,
Recommended keywords are determined according to the feature of the relationship type of the customer relationship and/or the communication information, by institute
State feature of the recommended keywords as the recommendation information.
Above-mentioned processor is also configured to:
The feature by the recommendation information being adapted to described end subscriber is sent to the server, comprising:
Judge whether that the transmission confirmation for receiving described end subscriber input instructs；
When receiving the transmission confirmation instruction, the feature for the recommendation information being adapted to described end subscriber is sent to
The server.
Above-mentioned processor is also configured to:
The communication information includes dialog context, short message content, instant communication information content, network messaging content, communication
Record any one of content or multinomial.
According to a sixth aspect of an embodiment of the present disclosure, a kind of information recommending apparatus is provided, comprising:
Processor；
Memory for storage processor executable instruction；
Wherein, processor is configured as:
Receive the feature for the recommendation information being adapted to this end subscriber of the user terminal that user terminal is sent；
What the feature determination for the recommendation information being adapted to according to the user with the user terminal was pushed to the user terminal
Recommendation information；
The recommendation information is pushed into the user terminal.
Above-mentioned processor is also configured to:
The feature for the recommendation information that the user with the user terminal is adapted to, including any one of following or multinomial:
The relationship type of customer relationship between this end subscriber and peer user of the user terminal；
The feature of the described communication information between end subscriber and peer user, the feature of the communication information include: institute
State temporal information included by communication information, location information, action message, in event at least one of；
Recommended keywords, the recommended keywords are as user terminal relationship type according to belonging to the customer relationship
And/or the feature of the communication information is determined.
Above-mentioned processor is also configured to:
The feature determination of the recommendation information being adapted to according to the user of the user terminal is pushed away to the user terminal
The recommendation information sent, comprising:
Determining TV programme, news information, advertising information, game information or purchase with the characteristic matching of the recommendation information
Object information.
Above-mentioned processor is also configured to:
It is described that the recommendation information is pushed into the use when the customer relationship includes a plurality of types of customer relationships
Family end, comprising:
Determine number of users corresponding to every class customer relationship；
Recommendation information corresponding with every class customer relationship in the recommendation information is determined according to the number of users
Push frequency；
Recommendation information corresponding with every class customer relationship is pushed into the user terminal according to the push frequency.
Above-mentioned processor is also configured to:
The method also includes:
According to temporal information included by the communication information, the push time of the recommendation information is determined；
It is described that the recommendation information is pushed into the user terminal, comprising:
According to the push time, the recommendation information is pushed into the user terminal.
Figure 15 is a kind of block diagram for information recommending apparatus 1500 shown according to an exemplary embodiment, and the device is suitable
For terminal device.For example, device 1500 can be mobile phone, computer, digital broadcasting terminal, messaging device, trip
Play console, tablet device, Medical Devices, body-building equipment, personal digital assistant etc..
Referring to Fig.1 5, device 1500 may include with next or at least two components: processing component 1502, memory
1504, power supply module 1506, multimedia component 1508, audio component 1510, the interface 1512 of input/output (I/O), sensor
Component 1514 and communication component 1516.
The integrated operation of the usual control device 1500 of processing component 1502, such as with display, telephone call, data communication,
Camera operation and record operate associated operation.Processing element 1502 may include one or at least two processors 1520
It executes instruction, to perform all or part of the steps of the methods described above.In addition, processing component 1502 may include one or at least
Two modules, convenient for the interaction between processing component 1502 and other assemblies.For example, processing component 1502 may include multimedia
Module, to facilitate the interaction between multimedia component 1508 and processing component 1502.
Memory 1504 is configured as storing various types of data to support the operation in equipment 1500.These data
Example includes the instruction for any storage object or method that operate on device 1500, contact data, telephone book data,
Message, picture, video etc..Memory 1504 can by any kind of volatibility or non-volatile memory device or they
Combination is realized, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), it is erasable can
Program read-only memory (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, flash memory
Reservoir, disk or CD.
Electric power assembly 1506 provides electric power for the various assemblies of device 1500.Electric power assembly 1506 may include power management
System, one or at least two power supplys and other with for device 1500 generate, manage, and distribute the associated component of electric power.
Multimedia component 1508 includes the screen of one output interface of offer between described device 1500 and user.?
In some embodiments, screen may include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel,
Screen may be implemented as touch screen, to receive input signal from the user.Touch panel includes one or at least two touchings
Sensor is touched to sense the gesture on touch, slide, and touch panel.The touch sensor can not only sense touch or cunning
The boundary of movement, but also detect duration and pressure associated with the touch or slide operation.In some embodiments
In, multimedia component 1508 includes a front camera and/or rear camera.When equipment 1500 is in operation mode, such as
When screening-mode or video mode, front camera and/or rear camera can receive external multi-medium data.Before each
Setting camera and rear camera can be a fixed optical lens system or has focusing and optical zoom capabilities.
Audio component 1510 is configured as output and/or input audio signal.For example, audio component 1510 includes a wheat
Gram wind (MIC), when device 1500 is in operation mode, when such as call mode, recording mode, and voice recognition mode, microphone quilt
It is configured to receive external audio signal.The received audio signal can be further stored in memory 1504 or via communication
Component 1516 is sent.In some embodiments, audio component 1510 further includes a loudspeaker, is used for output audio signal.
I/O interface 1512 provides interface, above-mentioned peripheral interface module between processing component 1502 and peripheral interface module
It can be keyboard, click wheel, button etc..These buttons may include, but are not limited to: home button, volume button, start button and
Locking press button.
Sensor module 1514 includes one or at least two sensors, for providing the shape of various aspects for device 1500
State assessment.For example, sensor module 1514 can detecte the state that opens/closes of equipment 1500, the relative positioning of component, example
Such as the display and keypad that the component is device 1500, sensor module 1514 can be with detection device 1500 or device
The position change of 1500 1 components, the existence or non-existence that user contacts with device 1500,1500 orientation of device or acceleration/subtract
The temperature change of speed and device 1500.Sensor module 1514 may include proximity sensor, be configured to not any
Physical contact when detect the presence of nearby objects.Sensor module 1514 can also include optical sensor, as CMOS or CCD schemes
As sensor, for being used in imaging applications.In some embodiments, which can also include acceleration
Sensor, gyro sensor, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 1516 is configured to facilitate the communication of wired or wireless way between device 1500 and other equipment.Dress
The wireless network based on communication standard, such as WiFi can be accessed by setting 1500,2G or 3G or their combination.It is exemplary at one
In embodiment, communication component 1516 receives broadcast singal or broadcast correlation from external broadcasting management system via broadcast channel
Information.In one exemplary embodiment, the communication component 1516 further includes near-field communication (NFC) module, to promote short distance
Communication.For example, radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band can be based in NFC module
(UWB) technology, bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 1500 can by one or at least two application specific integrated circuits (ASIC),
Digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field-programmable gate array
It arranges (FPGA), controller, microcontroller, microprocessor or other electronic components to realize, for executing the above method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instruction, example are additionally provided
It such as include the memory 1504 of instruction, above-metioned instruction can be executed by the processor 1520 of device 1500 to complete the above method.Example
Such as, the non-transitorycomputer readable storage medium can be ROM, random access memory (RAM), CD-ROM, tape, soft
Disk and optical data storage devices etc..
A kind of non-transitorycomputer readable storage medium, when the instruction in the storage medium is by above-mentioned apparatus 1500
When processor executes, so that above-mentioned apparatus 1500 is able to carry out a kind of information recommendation method, comprising:
Obtain the communication information between this end subscriber and peer user；
The feature for the recommendation information being adapted to described end subscriber is determined according to the communication information；
The feature for the recommendation information being adapted to described end subscriber is sent to the server, it is suitable with described end subscriber
The feature for the recommendation information matched is used for by the server as the recommendation information being adapted to according to acquisition with described end subscriber, and
The recommendation information being adapted to described end subscriber is pushed to the user terminal；
Receive and export the recommendation information of the server push being adapted to described end subscriber.
In one embodiment, described that the recommendation information being adapted to described end subscriber is determined according to the communication information
Feature, comprising:
The customer relationship between described end subscriber and the peer user is determined according to the communication information；
Determine the relationship type of the customer relationship；
The feature of the communication information is obtained, the feature of the communication information includes the time included by the communication information
Information, location information, in action message at least one of；
The feature of the relationship type and/or the communication information that determine the customer relationship is described and described end subscriber
The feature of the recommendation information of adaptation；Alternatively,
Recommended keywords are determined according to the feature of the relationship type of the customer relationship and/or the communication information, by institute
State feature of the recommended keywords as the recommendation information.
In one embodiment, the feature by the recommendation information being adapted to described end subscriber is sent to the service
Device, comprising:
Judge whether that the transmission confirmation for receiving described end subscriber input instructs；
When receiving the transmission confirmation instruction, the feature for the recommendation information being adapted to described end subscriber is sent to
The server.
In one embodiment, the communication information includes dialog context, short message content, instant communication information content, net
Any one of network message content, address list content are multinomial.
Figure 16 is a kind of block diagram for information recommending apparatus 1600 shown according to an exemplary embodiment.For example, dress
Setting 1600 may be provided as a server.Referring to Fig.1 6, it further comprises one that device 1600, which includes processing component 1622,
Or multiple processors, and the memory resource as representated by memory 1632, it can holding by processing component 1622 for storing
Capable instruction, such as application program.The application program stored in memory 1632 may include one or more each
A module for corresponding to one group of instruction.In addition, processing component 1622 is configured as executing instruction, to execute the above method.
Device 1600 can also include that a power supply module 1626 be configured as the power management of executive device 1600, and one
Wired or wireless network interface 1650 is configured as device 1600 being connected to network and input and output (I/O) interface
1658.Device 1600 can be operated based on the operating system for being stored in memory 1632, such as Windows ServerTM, Mac
OS XTM, UnixTM, LinuxTM, FreeBSDTM or similar.
A kind of non-transitorycomputer readable storage medium, when the instruction in the storage medium is by above-mentioned apparatus 1600
When processor executes, so that above-mentioned apparatus 1600 can also execute another information recommendation method, comprising:
Receive the feature for the recommendation information being adapted to this end subscriber of the user terminal that user terminal is sent；
What the feature determination for the recommendation information being adapted to according to the user with the user terminal was pushed to the user terminal
Recommendation information；
The recommendation information is pushed into the user terminal.
In one embodiment, the feature for the recommendation information that the user with the user terminal is adapted to, including following
It is one or more:
The relationship type of customer relationship between this end subscriber and peer user of the user terminal；
The feature of the described communication information between end subscriber and peer user, the feature of the communication information include: institute
State temporal information included by communication information, location information, action message, in event at least one of；
Recommended keywords, the recommended keywords are as user terminal relationship type according to belonging to the customer relationship
And/or the feature of the communication information is determined.
In one embodiment, the feature of the recommendation information being adapted to according to the user of the user terminal determines
The recommendation information pushed to the user terminal, comprising:
Determining TV programme, news information, advertising information, game information or purchase with the characteristic matching of the recommendation information
Object information.
In one embodiment, described by the recommendation when the customer relationship includes a plurality of types of customer relationships
Information pushes to the user terminal, comprising:
Determine number of users corresponding to every class customer relationship；
Recommendation information corresponding with every class customer relationship in the recommendation information is determined according to the number of users
Push frequency；
Recommendation information corresponding with every class customer relationship is pushed into the user terminal according to the push frequency.
In one embodiment, the method also includes:
According to temporal information included by the communication information, the push time of the recommendation information is determined；
It is described that the recommendation information is pushed into the user terminal, comprising:
According to the push time, the recommendation information is pushed into the user terminal.
Those skilled in the art will readily occur to its of the disclosure after considering specification and practicing disclosure disclosed herein
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Person's adaptive change follows the general principles of this disclosure and including the undocumented common knowledge in the art of the disclosure
Or conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by following
Claim is pointed out.
It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present disclosure is only limited by the accompanying claims.
Claims (18)
1. a kind of information recommendation method is used for user terminal characterized by comprising
Obtain the communication information between this end subscriber and peer user；
The feature for the recommendation information being adapted to described end subscriber is determined according to the communication information；
The feature for the recommendation information being adapted to described end subscriber is sent to server, the recommendation being adapted to described end subscriber
The feature of information is used to be used as by the server according to the recommendation information that is adapted to described end subscriber of acquisition, and to the use
Family end pushes the recommendation information being adapted to described end subscriber；
Receive and export the recommendation information of the server push being adapted to described end subscriber；
The feature that the recommendation information being adapted to described end subscriber is determined according to the communication information, comprising:
The customer relationship between described end subscriber and the peer user is determined according to the communication information；
Determine the relationship type of the customer relationship；
The feature of the communication information is obtained, the feature of the communication information includes the letter of time included by the communication information
At least one of in breath, action message；
Recommended keywords are determined according to the feature of the relationship type of the customer relationship and the communication information, and the recommendation is closed
Feature of the keyword as the recommendation information.
2. the method according to claim 1, wherein
The feature by the recommendation information being adapted to described end subscriber is sent to the server, comprising:
Judge whether that the transmission confirmation for receiving described end subscriber input instructs；
When receiving the transmission confirmation instruction, the feature for the recommendation information being adapted to described end subscriber is sent to described
Server.
3. method according to claim 1 or 2, which is characterized in that
The communication information include dialog context, short message content, instant communication information content, network messaging content, in address list
Any one of appearance is multinomial.
4. a kind of information recommendation method is used for server characterized by comprising
Receive the feature for the recommendation information being adapted to this end subscriber of the user terminal that user terminal is sent；
The feature for the recommendation information being adapted to according to the user with the user terminal determines the recommendation pushed to the user terminal
Information；
The recommendation information is pushed into the user terminal；
The feature for the recommendation information that the user with the user terminal is adapted to, comprising:
Recommended keywords, the recommended keywords are by the user terminal according to the described user between end subscriber and peer user
The feature of communication information between relationship type belonging to relationship and described end subscriber and the peer user is determined, described
The feature of communication information include: temporal information included by the communication information, action message, in event at least one of.
5. according to the method described in claim 4, it is characterized in that, described be adapted to the user of the user terminal according to
The feature of recommendation information determines the recommendation information pushed to the user terminal, comprising:
Determining TV programme, news information, advertising information, game information or shopping with the characteristic matching of the recommendation information is believed
Breath.
6. according to the method described in claim 4, it is characterized in that,
It is described that the recommendation information is pushed into the user when the customer relationship includes a plurality of types of customer relationships
End, comprising:
Determine number of users corresponding to every class customer relationship；
The push of recommendation information corresponding with every class customer relationship in the recommendation information is determined according to the number of users
Frequency；
Recommendation information corresponding with every class customer relationship is pushed into the user terminal according to the push frequency.
7. according to the method described in claim 4, it is characterized in that, the method also includes:
According to temporal information included by the communication information, the push time of the recommendation information is determined；
It is described that the recommendation information is pushed into the user terminal, comprising:
According to the push time, the recommendation information is pushed into the user terminal.
8. a kind of information recommending apparatus is used for user terminal characterized by comprising
Module is obtained, for obtaining the communication information between this end subscriber and peer user；
Determining module, for determining the feature for the recommendation information being adapted to described end subscriber according to the communication information；
Sending module, for the feature for the recommendation information being adapted to described end subscriber to be sent to server, with the local terminal
The feature of the recommendation information of user's adaptation is used for by the server as the recommendation being adapted to according to acquisition with described end subscriber
Information, and the recommendation information being adapted to described end subscriber is pushed to the user terminal；
Processing module, for receiving and exporting the recommendation information of the server push being adapted to described end subscriber；
The determining module includes:
First determines submodule, for determining the use between described end subscriber and the peer user according to the communication information
Family relationship；
Second determines submodule, for determining the relationship type of the customer relationship；
Acquisition submodule, for obtaining the feature of the communication information, the feature of the communication information includes the communication information
At least one of in included temporal information, action message；
4th determines submodule, for determining and recommending according to the relationship type of the customer relationship and the feature of the communication information
Keyword, using the recommended keywords as the feature of the recommendation information.
9. device according to claim 8, which is characterized in that
The sending module includes:
Judging submodule, for judging whether that the transmission confirmation for receiving described end subscriber input instructs；
Sending submodule, the recommendation information for will be adapted to described end subscriber when receiving the transmission confirmation instruction
Feature be sent to the server.
10. device according to claim 8 or claim 9, which is characterized in that
The communication information include dialog context, short message content, instant communication information content, network messaging content, in address list
Any one of appearance is multinomial.
11. a kind of information recommending apparatus is used for server characterized by comprising
Receiving module, the feature of the recommendation information being adapted to this end subscriber of the user terminal for receiving user terminal transmission；
First determining module, for being determined according to the feature of the recommendation information being adapted to the user of the user terminal to described
The recommendation information of user terminal push；
Pushing module, for the recommendation information to be pushed to the user terminal；
The feature for the recommendation information that the user with the user terminal is adapted to, comprising:
Recommended keywords, the recommended keywords are by the user terminal according to the described user between end subscriber and peer user
The feature of communication information between relationship type belonging to relationship and described end subscriber and the peer user is determined, described
The feature of communication information include: temporal information included by the communication information, action message, in event at least one of.
12. device according to claim 11, which is characterized in that first determining module includes:
First determines submodule, believes for determining TV programme, news information, advertisement with the characteristic matching of the recommendation information
Breath, game information or shopping information.
13. device according to claim 11, which is characterized in that the pushing module includes:
Second determines submodule, for when the customer relationship includes a plurality of types of customer relationships, determining that every class user is closed
The corresponding number of users of system；
Third determines submodule, for according to the number of users determine in the recommendation information with every class customer relationship pair
The push frequency for the recommendation information answered；
First push submodule, for will recommendation information push corresponding with every class customer relationship according to the push frequency
To the user terminal.
14. device according to claim 11, which is characterized in that described device further include:
Second determining module determines the push of the recommendation information for the temporal information according to included by the communication information
Time；
The pushing module includes:
Second push submodule, for according to the push time, the recommendation information to be pushed to the user terminal.
15. a kind of information recommending apparatus characterized by comprising
Processor；
Memory for storage processor executable instruction；
Wherein, the processor is configured to:
Obtain the communication information between this end subscriber and peer user；
The feature for the recommendation information being adapted to described end subscriber is determined according to the communication information；
The feature for the recommendation information being adapted to described end subscriber is sent to server, the recommendation being adapted to described end subscriber
The feature of information is used to be used as by the server according to the recommendation information that is adapted to described end subscriber of acquisition, and to the use
Family end pushes the recommendation information being adapted to described end subscriber；
Receive and export the recommendation information of the server push being adapted to described end subscriber；
The feature that the recommendation information being adapted to described end subscriber is determined according to the communication information, comprising:
The customer relationship between described end subscriber and the peer user is determined according to the communication information；
Determine the relationship type of the customer relationship；
The feature of the communication information is obtained, the feature of the communication information includes the letter of time included by the communication information
At least one of in breath, action message；
Recommended keywords are determined according to the feature of the relationship type of the customer relationship and the communication information, and the recommendation is closed
Feature of the keyword as the recommendation information.
16. a kind of information recommending apparatus characterized by comprising
Processor；
Memory for storage processor executable instruction；
Wherein, the processor is configured to:
Receive the feature for the recommendation information being adapted to this end subscriber of the user terminal that user terminal is sent；
The feature for the recommendation information being adapted to according to the user with the user terminal determines the recommendation pushed to the user terminal
Information；
The recommendation information is pushed into the user terminal；
The feature for the recommendation information that the user with the user terminal is adapted to, comprising:
Recommended keywords, the recommended keywords by the user terminal this end subscriber according to the user end and peer user it
Between customer relationship belonging to communication information between relationship type and described end subscriber and the peer user feature it is true
Make, the feature of the communication information include: temporal information included by the communication information, action message, in event extremely
One item missing.
17. a kind of non-transitorycomputer readable storage medium, is stored thereon with computer program, which is characterized in that the journey
The step of any one of claims 1 to 3 the method is realized when sequence is executed by processor.
18. a kind of non-transitorycomputer readable storage medium, is stored thereon with computer program, which is characterized in that the journey
The step of any one of claim 4 to 7 the method is realized when sequence is executed by processor.
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| CN106055566B (en) * | 2016-05-19 | 2019-06-18 | 华南理工大学 | Mobile phone games recommended method towards mobile advertising user |
| CN106357517B (en) * | 2016-09-27 | 2020-09-11 | 腾讯科技（北京）有限公司 | Directional label generation method and device |
| CN108287834A (en) * | 2017-01-09 | 2018-07-17 | 百度在线网络技术（北京）有限公司 | Method, apparatus and computing device for pushed information |
| CN109145280B (en) * | 2017-06-15 | 2023-05-12 | 北京京东尚科信息技术有限公司 | Information pushing method and device |
| CN108196902B (en) * | 2017-12-25 | 2021-12-28 | 上海尚往网络科技有限公司 | Method and apparatus for displaying open screen advertisements |
| CN109558539A (en) * | 2018-11-23 | 2019-04-02 | 咪咕数字传媒有限公司 | A kind of information recommendation method, device and computer readable storage medium |
| CN111375200B (en) * | 2018-12-28 | 2021-05-28 | 广州市百果园网络科技有限公司 | Method and system for intelligently configuring game resources, computer storage medium and equipment |
| CN115495598A (en) * | 2021-06-17 | 2022-12-20 | 腾讯科技（深圳）有限公司 | Method, device, equipment and storage medium for recommending multimedia resources |
| CN113779408A (en) * | 2021-09-17 | 2021-12-10 | 北京达佳互联信息技术有限公司 | Search recommendation method and device, electronic equipment and computer-readable storage medium |
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