CN103166930A - Method and system for pushing network information - Google Patents
Method and system for pushing network information Download PDFInfo
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- CN103166930A CN103166930A CN2011104211900A CN201110421190A CN103166930A CN 103166930 A CN103166930 A CN 103166930A CN 2011104211900 A CN2011104211900 A CN 2011104211900A CN 201110421190 A CN201110421190 A CN 201110421190A CN 103166930 A CN103166930 A CN 103166930A
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Abstract
A method for pushing network information includes the following steps: obtaining a friend chain of a user and friends on the friend chain, obtaining the intimacy degree between the user and each friend, obtaining the service favorability of the friends of the user, calculating expectation favorability of the user on a network service according to the intimacy degree and the service favorability, and pushing the network information related to the network service to the user according to the expectation favorability. Through the method for pushing the network information, potential demands of the user can be effectively dug out, the probability of accepting the network service recommended in the network information by the user can be improved, and therefore the success rate of recommending the network service in the network information is improved. In addition, the invention further provides a system for pushing the network information.
Description
[technical field]
The present invention relates to networking technology area, relate to especially a kind of method and system of pushing network information.
[background technology]
Along with the development of network technology and the growth of user's request, the diverse network business emerges in an endless stream, and the business development business pushes the network information relevant to Network by the Internet to the user, propagates and promote Network with this.
The method of traditional pushing network information, when needs are promoted Network, push the relevant network information of this Network with certain information format to the all-network user in certain region scope, and upgrade according to default cycle or frequency the network information that pushes.
The method of traditional pushing network information, owing to pushing the relevant network information of Network according to regular time, fixing mode to the user, the poor effect that it is received, the probability that the user accepts the Network that the network information recommends is not high, is that the success rate of network information recommendation network business is not high yet.
[summary of the invention]
Based on this, be necessary to provide a kind of and can improve the method that the pushing network information of success rate is recommended in Network.
A kind of method of pushing network information comprises the following steps:
The good friend who obtains the user is closed tethers and good friend and is closed good friend on tethers;
Obtain the cohesion between described user and good friend;
Obtain described user's good friend's business likability;
Calculate described user to the expectation likability of Network according to described cohesion and described business likability;
Push the network information relevant to described Network according to described expectation likability to described user.
Preferably, the described step of obtaining the cohesion between described user and good friend comprises:
Obtain network interaction record and/or personal information between user and good friend;
According to the cohesion between described network interaction record and/or the personal information described user of calculating and good friend.
Preferably, the step of the described user's of obtaining good friend's business likability comprises:
Obtain user's good friend to the operation note of Network;
Calculate user's good friend's business likability according to described operation note.
Preferably, described operation note comprises one or more the combination in log-on message, read-write record, evaluation information.
Preferably, describedly comprise to the step that described user pushes the network information relevant to described Network according to described expectation likability:
Network is sorted to the expectation likability order from high to low of Network according to described user;
Push the network information relevant to the Network of the forward predetermined number that sorts to described user.
Preferably, described method also comprises:
Obtain described user to the feedback information of the network information of propelling movement;
According to described feedback information, described user's Network to be recommended is resequenced.
Based on this, also be necessary to provide a kind of and can improve the system that the pushing network information of success rate is recommended in Network.
A kind of system of pushing network information comprises:
Good friend's acquisition module, the good friend who is used for obtaining the user is closed tethers and good friend and is closed good friend on tethers;
The cohesion acquisition module is used for obtaining the cohesion between described user and good friend;
The likability acquisition module is for the good friend's who obtains described user business likability;
Expectation likability computing module is used for calculating described user to the expectation likability of Network according to described cohesion and described business likability;
The information pushing module is used for pushing the network information relevant to described Network according to described expectation likability to described user.
Preferably, described cohesion acquisition module comprises:
Cohesion relevant information acquisition module is used for obtaining network interaction record and/or personal information between user and good friend;
The cohesion computing module is used for according to the cohesion between described network interaction record and/or the personal information described user of calculating and good friend.
Preferably, described likability acquisition module comprises:
The operation note acquisition module is used for obtaining user's good friend to the operation note of Network;
The likability computing module is used for calculating user's good friend to the likability of Network according to described operation note.
Preferably, described operation note comprises one or more the combination in log-on message, read-write record, evaluation information.
Preferably, described information pushing module comprises:
Order module is used for Network is sorted to the expectation likability order from high to low of Network according to described user;
Pushing module pushes the network information relevant to the Network of the forward predetermined number that sorts to described user.
Preferably, described system also comprises:
The feedback information acquisition module is used for obtaining described user to the feedback information of the network information of propelling movement;
Described order module also is used for according to described feedback information, described user's Network to be recommended being resequenced.
The method and system of above-mentioned pushing network information, business likability according to the cohesion between user and good friend and user's good friend, obtain the user to the expectation likability of Network, and push the network information relevant to Network according to this expectation likability to the user.Because the hobby between the high user of cohesion is likely similar, if user good friend buddy-buddy is very high to the likability of certain Network, this user also may be interested in this Network, so adopt aforesaid way to push the relevant network information of the interested Network of its good friend to the user, the effective potential demand of digging user, can improve the probability that the user accepts the Network that the network information recommends, thereby improve the success rate of network information recommendation network business.
[description of drawings]
Fig. 1 is the schematic flow sheet of the method for a pushing network information in embodiment;
Fig. 2 is the schematic flow sheet that obtains the cohesion between user and good friend in an embodiment;
Fig. 3 is the schematic flow sheet of the business likability of the good friend who obtains the user in an embodiment;
Fig. 4 pushes the schematic flow sheet of the network information relevant to Network according to the expectation likability in an embodiment to the user;
Fig. 5 is the interface schematic diagram of the network information that pushes to the user in an embodiment;
Fig. 6 is the structural representation of the system of a pushing network information in embodiment;
Fig. 7 is the structural representation of a cohesion acquisition module in embodiment;
Fig. 8 is the structural representation of a likability acquisition module in embodiment;
Fig. 9 is the structural representation of an information pushing module in embodiment;
Figure 10 is the structural representation of the system of the pushed information in another embodiment.
[embodiment]
As shown in Figure 1, in one embodiment, a kind of method of pushing network information comprises the following steps:
Step S10, the good friend who obtains the user close tethers and good friend and close good friend on tethers.
In Web Community, the user can set up good friend's relation with one or more other users, and the good friend who namely consists of the user with user other users that are good friend's relations is closed tethers.User's good friend is closed tethers and is stored in database with the form of the buddy list corresponding with user ID.In the present embodiment, close by the good friend who obtains the user buddy list that tethers can obtain the user, the good friend who further obtains the user is closed the good friend on tethers.Should be noted that user and good friend are relative relations, user's good friend is also the user in Web Community.
Step S20 obtains the cohesion between user and good friend.
As shown in Figure 2, in one embodiment, step S20 comprises the following steps:
Step S202 obtains network interaction record and/or personal information between user and good friend.
Concrete, the request that the network interaction record comprises the network information between user and good friend is recorded with the instant messaging of response record, voice or word, the access of intercommunication mail record and the network information and review record etc.Preferably, personal information comprises user's the information such as age, school, educational background, specialty, address, hobby.
Step S204 is according to the cohesion between network interaction record and/or personal information calculating user and good friend.
In one embodiment, can be according to the cohesion between the record of the network interaction between user and good friend calculating user and good friend.Concrete, but the network interaction frequency between counting user and good friend, mutual duration etc., and the cohesion that arranges between user and good friend is the increasing function of its network interaction frequency and duration, the numerical value that is the network interaction frequency between user and good friend, mutual duration is larger, and the cohesion between user and good friend is higher.
In one embodiment, can be according to user's personal information and good friend's personal information calculating user and the cohesion between the good friend.Concrete, but the similarity between the personal information of counting user and good friend's personal information, and the increasing function of similarity that cohesion between user and good friend is user and good friend's personal information is set.
In another embodiment, can be according to the record of the network interaction between user and good friend and user's personal information and good friend's personal information calculating user and the cohesion between the good friend.Concrete, but the similarity between the network interaction frequency between comprehensive statistics user and good friend and duration and user's personal information and good friend's personal information, and the cohesion that arranges between user and good friend is the increasing function of the network interaction frequency, duration and personal information similarity.
Preferably, in one embodiment, can set in advance tethers storehouse, pass, after calculating the cohesion between user and good friend, this cohesion is stored in tethers storehouse, pass, and can regularly upgrade tethers storehouse, pass.
Step S30 obtains user's good friend's business likability.Concrete, user's good friend's business likability is that user's good friend is to the likability of Network.
As shown in Figure 3, in one embodiment, step S30 comprises the following steps:
Step S302 obtains user's good friend to the operation note of Network.
Concrete, the user comprises registration operation, read operation and write operation to the operation of Network.For example, registration is operating as the operation that the user registers some Networks, as submitting registration request, filling registration information etc. to; Read operation checks for the user operation that the network informations such as daily record that its good friend delivers, photograph album are carried out; Write operation is submitted the operation of the network informations such as daily record, photograph album, comment to for the user.Further, obtain user's good friend to number of operations and/or the operation duration of Network.
Step S304 calculates user's good friend's business likability according to aforesaid operations record.
Concrete, can be according to user's good friend to the good friend of the number of operations of Network and/or the operation duration recording user likability to Network.Accordingly, if user's good friend is larger to the number of operations of Network and/or operation duration, good friend's the business likability that the user can be set is higher.
Preferably, in one embodiment, can set in advance the customer service storehouse, the user's that calculates good friend's business likability is stored in the customer service storehouse.As mentioned above, because user and good friend are relative relations, customer service storehouse actual storage be all users' business likability.
Step S40 calculates the user to the expectation likability of Network according to the cohesion between user and good friend and user's good friend's business likability.
Concrete, the expectation likability is to the prediction index of user to the potential likability of Network.Because the hobby between more intimate good friend may be more similar, therefore, can calculate the user to the expectation likability of Network according to user and good friend's cohesion and user's good friend's business likability; User's good friend is higher and cohesion user and this good friend is higher to the business likability of Network, and the user is just higher to the expectation likability of this Network.
Preferably, in one embodiment, be calculated as follows the user to the expectation likability of Network:
Wherein, ExpectF
aThe expectation likability of expression user to Network a, friendNum represents good friend's number of user, C
iCohesion between expression user and its i good friend, F
aiRepresent that this i good friend is to the business likability of Network a.
In one embodiment, the user that calculates can be stored to the customer service storehouse to the expectation likability of Network as user's business likability, so that the customer service storehouse is upgraded, and be used for calculating the user to the expectation likability of Network next time.
Step S50 pushes the network information relevant to Network according to above-mentioned expectation likability to the user.
As shown in Figure 4, in one embodiment, step S50 comprises the following steps:
Step S502 sorts according to the user Network to the expectation likability order from high to low of Network.
Step S504 pushes the network information relevant to the Network of the forward predetermined number of sequence to the user.
In one embodiment, preset the network information relevant to Network, during pushing network information, directly with predefined network information push to the user.In another embodiment, go back capable of dynamic the network information is set, user's good friend's personal information is joined be pushed to together the user in the network information.For example, as shown in Figure 5, user's good friend's name Andy, Ben joined in the network information that pushes to the user.In the present embodiment, because the personal information with user's good friend also joins in the network information, can further improve user's attention rate, thereby further improve the success rate that the user accepts the Network that the network information recommends.
The link information (as shown in Figure 5) that also can comprise this Network in the network information relevant to Network that pushes to the user in one embodiment.The user directly clicks this link just can enter into the page of this Network, user friendly operation.
In an example, the method for above-mentioned pushing network information also comprises step: obtain the user to the feedback information of the network information of propelling movement, according to feedback information, user's Network to be recommended is resequenced.
Concrete, can obtain the broadcast frequency, user of the network information to the clicking rate of the network information, and the user is to the operation note of the relevant Network of the network information, as the user to the registration of Network, login record, Visitor Logs, write operation record etc.
In one embodiment, if the broadcast frequency of the network information surpasses default threshold value, Network that can this network information is relevant discharging backward in user's Network formation to be recommended, because if continue again to push the relevant network information of this Network to the user, may cause invasion to the user.Accordingly, if the user has increased operation note to the relevant Network of the network information that pushes, as registration, login or access etc., also can be with this Network discharging backward in user's Network formation to be recommended, because the network information that pushes has successfully made the user accept the Network that this network information is recommended, the relevant information of this Network can push to the user after some cycles again.
The method of above-mentioned pushing network information, by according to the feedback information of user to the network information that pushes, rearrangement is to user's Network to be recommended, the renewable network information relevant to Network that pushes to the user, thereby can further improve the success rate that pushes the Network relevant to the network information, and reduce the invasion to the user.
As shown in Figure 6, a kind of system of pushing network information comprises good friend's acquisition module 100, cohesion acquisition module 200, likability acquisition module 300, expectation likability computing module 400, information pushing module 500, wherein:
Good friend's acquisition module 100, the good friend who is used for obtaining the user is closed tethers and good friend and is closed good friend on tethers.
In Web Community, the user can set up good friend's relation with one or more other users, and the good friend who namely consists of the user with user other users that are good friend's relations is closed tethers.User's good friend is closed tethers and is stored in database with the form of the buddy list corresponding with user ID.In the present embodiment, good friend's acquisition module 100 is used for closing by the good friend who obtains the user buddy list that tethers can obtain the user, and the good friend who further obtains the user is closed the good friend on tethers.Should be noted that user and good friend are relative relations, user's good friend is also the user in Web Community.
As shown in Figure 7, in one embodiment, cohesion acquisition module 200 comprises cohesion relevant information acquisition module 202, cohesion computing module 204, wherein:
Cohesion relevant information acquisition module 202 is used for obtaining network interaction record and/or personal information between user and good friend.
Concrete, the request that the network interaction record comprises the network information between user and good friend is recorded with the instant messaging of response record, voice or word, the access of intercommunication mail record and the network information and review record etc.Preferably, personal information comprises user's the information such as age, school, educational background, specialty, address, hobby.
In one embodiment, cohesion computing module 204 can be used for according to the cohesion between the record of the network interaction between user and good friend calculating user and good friend.Concrete, but the network interaction frequency between cohesion computing module 204 counting users and good friend, mutual duration etc., and the cohesion that arranges between user and good friend is the increasing function of its network interaction frequency and duration.
In one embodiment, cohesion computing module 204 can be used for personal information and good friend's personal information calculating user and the cohesion between the good friend according to the user.Concrete, the similarity between the personal information that cohesion computing module 204 can be used for counting user and good friend's personal information, and the increasing function of similarity that cohesion between user and good friend is user and good friend's personal information is set.
In another embodiment, cohesion computing module 204 can be used for personal information and good friend's personal information calculating user and the cohesion between the good friend according to the record of the network interaction between user and good friend and user.Concrete, cohesion computing module 204 can be used for the similarity between the network interaction frequency between comprehensive statistics user and good friend and duration and user's personal information and good friend's personal information, and the cohesion that arranges between user and good friend is the increasing function of the network interaction frequency, duration and personal information similarity.
Preferably, in one embodiment, can set in advance tethers storehouse, pass (not shown), after calculating the cohesion between user and good friend, this cohesion is stored in tethers storehouse, pass, and can regularly upgrade tethers storehouse, pass.
As shown in Figure 8, in one embodiment, likability acquisition module 300 comprises operation note acquisition module 302, likability computing module 304, wherein:
Operation note acquisition module 302 is used for obtaining user's good friend to the operation note of Network.
Concrete, the user comprises registration operation, read operation and write operation to the operation of Network.For example, registration is operating as the operation that the user registers some Networks, as submitting registration request, filling registration information etc. to; Read operation checks for the user operation that the network informations such as daily record that its good friend delivers, photograph album are carried out; Write operation is submitted the operation of the network informations such as daily record, photograph album, comment to for the user.Further, operation note acquisition module 302 can obtain user's good friend to number of operations and/or the operation duration of Network.
Concrete, likability computing module 304 can be according to user's good friend to the good friend of the number of operations of Network and/or the operation duration recording user likability to Network.Accordingly, if user's good friend is larger to the number of operations of Network and/or operation duration, good friend's the business likability that the user can be set is higher.
Preferably, in one embodiment, can set in advance customer service storehouse (not shown), the user's that calculates good friend's business likability is stored in the customer service storehouse.As mentioned above, because user and good friend are relative relations, customer service storehouse actual storage be all users' business likability.
Expectation likability computing module 400 is used for calculating the user to the expectation likability of Network according to the cohesion between user and good friend and user's good friend's business likability.
Concrete, the expectation likability is to the prediction index of user to the potential likability of Network.Because the hobby between more intimate good friend may be more similar, therefore, expectation likability computing module 400 can be used for calculating the user to the expectation likability of Network according to user and good friend's cohesion and user's good friend's business likability; User's good friend is higher and cohesion user and this good friend is higher to the business likability of Network, and that the user can be set is also higher to the expectation likability of this Network for likability computing module 304.
Preferably, in one embodiment, expectation likability computing module 400 is used for being calculated as follows the user to the expectation likability of Network:
Wherein, ExpecF
aThe expectation likability of expression user to Network a, friendNum represents good friend's number of user, C
iCohesion between expression user and its i good friend, F
aiRepresent that this i good friend is to the business likability of Network a.
In one embodiment, expectation likability computing module 400 can be used for the user that will calculate the expectation likability of Network is stored to the customer service storehouse as user's business likability, so that the customer service storehouse is upgraded, and be used for calculating the user to the expectation likability of Network next time.
As shown in Figure 9, in one embodiment, information pushing module 500 comprises order module 502, pushing module 504, wherein:
Pushing module 504 is used for pushing the network information relevant to the Network of the forward predetermined number of sequence to the user.
In one embodiment, pushing module 504 can be used for presetting the network information relevant to Network, during pushing network information, directly with predefined network information push to the user.In another embodiment, pushing module 504 also can be used for dynamically arranging the network information, user's good friend's personal information is joined be pushed to together the user in the network information.For example, as shown in Figure 5, user's good friend's name Andy, Ben joined in the network information that pushes to the user.In the present embodiment, because the personal information with user's good friend also joins in the network information, can further improve user's attention rate, thereby further improve the success rate that the user accepts the Network that the network information recommends.
The link information (as shown in Figure 5) that also can comprise this Network in the network information relevant to Network that pushes to the user in one embodiment.The user directly clicks this link just can enter into the page of this Network, user friendly operation.
As shown in figure 10, in one embodiment, the system of above-mentioned pushed information also comprises:
Feedback information acquisition module 600 is used for obtaining the user to the feedback information of the network information of propelling movement.
Concrete, feedback information acquisition module 600 can obtain the broadcast frequency, user of the network information to the clicking rate of the network information, and the user is to the operation note of the relevant Network of the network information, as the user to the registration of Network, login record, Visitor Logs, write operation record etc.
In the present embodiment, order module 502 also is used for according to above-mentioned feedback information, user's Network to be recommended being resequenced.
In one embodiment, if the broadcast frequency of the network information surpasses default threshold value, Network discharging backward in user's Network formation to be recommended that order module 502 can be relevant with this network information, because if continue again to push the relevant network information of this Network to the user, may cause invasion to the user.Accordingly, if the user has increased operation note to the relevant Network of the network information that pushes, as registration, login or access etc., order module 502 also can be with this Network discharging backward in user's Network formation to be recommended, because the network information that pushes has successfully made the user accept the Network that this network information is recommended, the relevant information of this Network can push to the user after some cycles again.
The system of above-mentioned pushing network information, by according to the feedback information of user to the network information that pushes, rearrangement is to user's Network to be recommended, the renewable network information relevant to Network that pushes to the user, thereby can further improve the success rate that pushes the Network relevant to the network information, and reduce the invasion to the user.
The method and system of above-mentioned pushing network information, business likability according to the cohesion between user and good friend and user's good friend, obtain the user to the expectation likability of Network, and push the network information relevant to Network according to this expectation likability to the user.Because the hobby between the high user of cohesion is likely similar, if user good friend buddy-buddy is very high to the likability of certain Network, this user also may be interested in this Network, so adopt aforesaid way to push the relevant network information of the interested Network of its good friend to the user, the effective potential demand of digging user, can improve the probability that the user accepts the Network that the network information recommends, thereby improve the success rate of network information recommendation network business.
The above embodiment has only expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.Should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.
Claims (12)
1. the method for a pushing network information comprises the following steps:
The good friend who obtains the user is closed tethers and good friend and is closed good friend on tethers;
Obtain the cohesion between described user and good friend;
Obtain described user's good friend's business likability;
Calculate described user to the expectation likability of Network according to described cohesion and described business likability;
Push the network information relevant to described Network according to described expectation likability to described user.
2. the method for pushing network information according to claim 1, is characterized in that, the described step of obtaining the cohesion between described user and good friend comprises:
Obtain network interaction record and/or personal information between user and good friend;
According to the cohesion between described network interaction record and/or the personal information described user of calculating and good friend.
3. the method for pushing network information according to claim 1, is characterized in that, the step of the described user's of obtaining good friend's business likability comprises:
Obtain user's good friend to the operation note of Network;
Calculate user's good friend's business likability according to described operation note.
4. the method for pushing network information according to claim 3, is characterized in that, described operation note comprises one or more the combination in log-on message, read-write record, evaluation information.
According to claim 1 to 4 described pushing network information method, it is characterized in that, describedly comprise to the step that described user pushes the network information relevant to described Network according to described expectation likability:
Network is sorted to the expectation likability order from high to low of Network according to described user;
Push the network information relevant to the Network of the forward predetermined number that sorts to described user.
6. the method for pushing network information according to claim 5, is characterized in that, described method also comprises:
Obtain described user to the feedback information of the network information of propelling movement;
According to described feedback information, described user's Network to be recommended is resequenced.
7. the system of a pushing network information, is characterized in that, comprising:
Good friend's acquisition module, the good friend who is used for obtaining the user is closed tethers and good friend and is closed good friend on tethers;
The cohesion acquisition module is used for obtaining the cohesion between described user and good friend;
The likability acquisition module is for the good friend's who obtains described user business likability;
Expectation likability computing module is used for calculating described user to the expectation likability of Network according to described cohesion and described business likability;
The information pushing module is used for pushing the network information relevant to described Network according to described expectation likability to described user.
8. the system of pushing network information according to claim 7, is characterized in that, described cohesion acquisition module comprises:
Cohesion relevant information acquisition module is used for obtaining network interaction record and/or personal information between user and good friend;
The cohesion computing module is used for according to the cohesion between described network interaction record and/or the personal information described user of calculating and good friend.
9. the system of pushing network information according to claim 7, is characterized in that, described likability acquisition module comprises:
The operation note acquisition module is used for obtaining user's good friend to the operation note of Network;
The likability computing module is used for the business likability according to described operation note calculating user's good friend.
10. the system of pushing network information according to claim 9, is characterized in that, described operation note comprises one or more the combination in log-on message, read-write record, evaluation information.
11. according to claim 7 to 10 described pushing network information system, it is characterized in that, described information pushing module comprises:
Order module is used for Network is sorted to the expectation likability order from high to low of Network according to described user;
Pushing module pushes the network information relevant to the Network of the forward predetermined number that sorts to described user.
12. the system of pushing network information according to claim 11 is characterized in that, described system also comprises:
The feedback information acquisition module is used for obtaining described user to the feedback information of the network information of propelling movement;
Described order module also is used for according to described feedback information, described user's Network to be recommended being resequenced.
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