CN103188139A - Information presentation method for friend recommendation and information presentation device for friend recommendation - Google Patents
Information presentation method for friend recommendation and information presentation device for friend recommendation Download PDFInfo
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- CN103188139A CN103188139A CN2011104579965A CN201110457996A CN103188139A CN 103188139 A CN103188139 A CN 103188139A CN 2011104579965 A CN2011104579965 A CN 2011104579965A CN 201110457996 A CN201110457996 A CN 201110457996A CN 103188139 A CN103188139 A CN 103188139A
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Abstract
The invention discloses an information presentation method for friend recommendation and an information presentation device for friend recommendation. A corresponding relationship between network application scenario information and user attributes is set in advance. The information presentation method for friend recommendation comprises the steps of obtaining network application scenario information of a target user; confirming a user to be recommended from non-friend users according to user attributes corresponding to the network application scenario information, information of user attributes of the target user and information of user attributes of the non-friend users; and showing information of the user to be recommended to the target user. According to the information presentation method for friend recommendation and the information presentation device for friend recommendation, information presentation efficiency of friend recommendation can be improved.
Description
Technical field
The present invention relates to networking technology area, particularly a kind of information displaying method of recommending friends and device.
Background technology
Along with the develop rapidly of computer technology and Internet technology, the Internet has entered increasing people's life.IM(Instant Messenger miscellaneous, MSN), SNS(Social Network Site, social network sites), network information instrument such as microblogging, become people's indispensable part in the process of using network, can provide good interaction experience and the abundant service of kind for people.
The user is when network information instruments such as use IM, SNS, microblogging; use wherein each kind of network application through regular meeting; for example IM group chatting, SNS recreation application (as the QQ farm) etc.; in the process of using these network applications; server can carry out the information displaying of recommending friends to the user; certain zone in the network application page for example shows head portrait or the online business card to the friend of its recommendation to the user.Can allow the user in this way when using network application, seek the good friend.
Yet, the inventor finds prior art, and there are the following problems at least: in the prior art, when the targeted customer is carried out the information displaying of recommending friends, just determine user to be recommended and targeted customer's matching degree according to subscriber data, user to be recommended is sorted, and show that according to the ranking results information of carrying out the displaying result who obtains by this methods of exhibiting often makes that coupling good friend's success rate is lower, causes the information of recommending friends to show inefficiency.
Summary of the invention
The object of the present invention is to provide a kind of information displaying method and device of recommending friends, show efficient with the information that improves recommending friends, for this reason, the embodiment of the invention adopts following technical scheme:
A kind of information displaying method of recommending friends is characterized in that, sets in advance the corresponding relation of network application scene information and user property, and described method comprises:
Obtain targeted customer's network application scene information;
According to the information of each user property of the user property of described network application scene information correspondence and described targeted customer and corresponding non-good friend user, in described non-good friend user, determine user to be recommended;
The information of showing described user to be recommended to described targeted customer.
A kind of device for displaying information of recommending friends is characterized in that, comprising:
Module is set, is used for arranging the corresponding relation of network application scene information and user property;
Acquisition module is for the network application scene information that obtains the targeted customer;
Determination module is used for the information according to each user property of the user property of described network application scene information correspondence and described targeted customer and corresponding non-good friend user, determines user to be recommended in described non-good friend user;
Display module is for the information of showing described user to be recommended to described targeted customer.
The above embodiment of the present invention, obtain targeted customer's network application scene information, information according to each user property of the user property of this network application scene information correspondence and targeted customer and corresponding non-good friend user, in non-good friend user, determine user to be recommended, and to the information that the targeted customer shows user to be recommended, can improve the information of recommending friends and show efficient.
Description of drawings
The schematic flow sheet of the information displaying method of the recommending friends that Fig. 1 provides for the embodiment of the invention;
One of the information displaying method of the recommending friends that Fig. 2 a provides for embodiment of the invention schematic diagram in concrete the application;
Two of the schematic diagram of the information displaying method of the recommending friends that Fig. 2 b provides for the embodiment of the invention in concrete the application;
Three of the schematic diagram of the information displaying method of the recommending friends that Fig. 3 provides for the embodiment of the invention in concrete the application;
The structural representation of the device for displaying information of the recommending friends that Fig. 4 provides for the embodiment of the invention.
Embodiment
Below in conjunction with the accompanying drawing among the present invention, the technical scheme among the present invention is carried out clear, complete description, obviously, described embodiment is a part of embodiment of the present invention, rather than whole embodiment.Based on the embodiment among the present invention, all other embodiment that those of ordinary skills obtain under the prerequisite of not making creative work belong to the scope of protection of the invention.
In the embodiment of the invention, server obtains targeted customer's network application scene information, information according to each user property of the user property of this network application scene information correspondence and targeted customer and corresponding non-good friend user, in non-good friend user, determine user to be recommended, and show user's to be recommended information to the targeted customer, thereby the information that can improve recommending friends is showed efficient.
Embodiment one
As shown in Figure 1, the flow process of the information displaying method of the recommending friends that provides for the embodiment of the invention.Before flow performing, server can set in advance the corresponding relation of network application scene information and user property.Wherein, the network application scene is the network application that the user is using, the group who is chatting as the user, or the recreation (QQ farm, QQ dining room) played of user etc.; User property specifically can be user's data item, as previous graduate college, sex, age, native place, location, hobby, whether load certain and use etc.Illustrate this corresponding relation, for example, the network application scene is the group of association, and it is the native place that its corresponding user property then can be set; The network application scene is that it is the location that its corresponding user property then can be set with city meeting group; The network application scene is schoolmates' address book (or the groups of classmate's association), and it is previous graduate college, graduation time that its corresponding user property then can be set; The network application scene is colleague's record (or colleague group), and it is work unit that its corresponding user property then can be set; The network application scene is used A for using, and corresponding user property then can be set be load application A.Server can deposit the corresponding relation of network application scene information and user property in the corresponding database.
The flow process of the information displaying method of the recommending friends that the embodiment of the invention provides specifically may further comprise the steps:
Step 101, server are obtained the current network application scene information of targeted customer.
Concrete, if the user is carrying out group chatting, the network application scene information can be the classification of the current place of targeted customer group, as association, with city meeting, schoolmates' address book, colleague's record etc.; The network application scene information also can be that the sign in (as QQ farm, QQ dining room) is used in the recreation of the current use of targeted customer etc.
Step 102, server are determined user to be recommended according to the information of each user property of the user property of network application scene information correspondence and targeted customer and corresponding non-good friend user in non-good friend user.Wherein, non-good friend user is the user outside targeted customer and the good friend user thereof.
The concrete grammar of determining user to be recommended can be as follows:
Method one
Step 1, server are determined the coupling weights of each user property according to the user property of network application scene information correspondence.Wherein, the coupling weights of user property are when certain non-good friend user and the information of targeted customer in this user property are complementary, to be the weights of this non-good friend user's increase.For example, the coupling weights of user property " native place " are 5, and when certain user A was identical with targeted customer's native place, then the weights with user A added 5.Non-good friend user's weights are more high, and its recommended possibility of targeted customer of giving is also just more high.
Concrete, the coupling weights that server can arrange the user property of described network application scene information correspondence are height, the coupling weights of other user properties are low.For example, the user just chats in classification is the group of association, server is at first according to the corresponding relation that sets in advance network application scene information and user property, determine that the user property corresponding with " association " is " native place ", then, server can user property " native place " the coupling weights be set to 5, and the coupling weights of other user properties are set to the numerical value less than 5, coupling weights as other user properties of 1(are not necessarily identical, also different coupling weights can be set according to the importance of different user attribute).
In addition, server also can set in advance the coupling weights of each user property, after having determined user's current network application scenarios information, the coupling weights of the user property of this network application scene information correspondence is increased a default numerical value.For example, the coupling weights that server is preset native place, work unit, graduation senior middle school are 1, if the user property of user's current network application scenarios information correspondence is the native place, then the coupling weights in native place are increased a default numerical value 4, obtain the coupling weights 5 after the adjustment of native place correspondence.
Concrete, server is compared the information of each user property of the information of each user property of described non-good friend user and described targeted customer, determines the user property that information is complementary; The coupling weights sum of the user property correspondence that the information of determining is complementary is as this non-good friend user's weights.
For example, in each user property as certain user B and targeted customer, the user property that information is complementary comprises native place, work unit, graduation senior middle school, and the coupling weights of native place, work unit, graduation senior middle school correspondence are respectively 5,1,1, and the weights that then can determine user B are 7.
It is pointed out that herein that the account form of weights is not necessarily done and, can also adopt and make compute mode such as long-pending and determine.
For example, weights among the non-good friend user can be defined as user to be recommended greater than 5 user; Also non-good friend user can be arranged from big to small according to weights, be defined as user to be recommended with coming preceding 50 user.
Method two
In the method, server can set in advance the coupling weights of each user property.
Step 1, server are obtained the user property of network application scene information correspondence.
Server can be determined the user property of current network application scenarios information correspondence according to the network application scene information that sets in advance and the corresponding relation of user property.
Identical in the specific implementation of step 3 and step 4 and the method one, different is method two only at the information and the non-good friend user that the targeted customer is complementary of the user property of network application scene information correspondence, are not stated so particular content is not done to tire out at this.
Concrete, server can be showed user's to be recommended information according to weights order from high to low to the targeted customer.
Concrete, server also can be according to weights, in all users to be recommended, choose preset number (as, 3) user to be recommended, and show the user's to be recommended who chooses information to the targeted customer; Wherein, the probability that is selected of the user to be recommended that weights are more high is more high.
Concrete, the N(N that server can also be the highest with weights can be a default value, can determine according to what of the size of displayed page and exhibition information) individual user to be recommended shows the targeted customer.
Preferably, server can be showed user's to be recommended information to the targeted customer in the interface of the network application scene of correspondence.For example, server is the user to be recommended who determines according to the relevant information of the opened chat group of targeted customer, then shows the user to be recommended who determines in the interface (or interface relevant with this group) of this group.
Shown in Fig. 2 a and Fig. 2 b, the schematic diagram of information displaying method in the concrete application of group chatting of the recommending friends that provides for the embodiment of the invention.Shown in the figure is the chat window of group chatting, in Fig. 2 a, in " looking for friend " hurdle of the group members on right side top, picked at random head portrait, name and the acquaintanceship degree information of the friend of 3 recommendations (user to be recommended) show.Mouse is moved to the business card that can show relative users on the head portrait, click head portrait or name and can enter the personal homepage of relative users.Click Refresh button and can choose the friend of 3 recommendations again, head portrait, name and acquaintanceship degree information are showed.Click "
" (launching mini frame), can shown in Fig. 2 b, show the friend's of 9 recommendations corresponding information." can's knowable people " who clicks that " looking for friend " that " more " then can enter into group space as shown in Figure 3 use tabulation.
The tabulation of as shown in Figure 3 " can knowable people ", in this tabulation, show the friend (user to be recommended) who recommends with default row, column, number of pages, mouse is moved to the business card that can show relative users on the head portrait, click head portrait or name and can enter the personal homepage of relative users, click " adding as a friend " and then can eject the plusing good friend dialog box.In can showing the friend of recommendation, the lower right of this page opened the user's that " friend " use relevant information.
The above embodiment of the present invention, obtain targeted customer's network application scene information, information according to each user property of the user property of this network application scene information correspondence and targeted customer and corresponding non-good friend user, in non-good friend user, determine user to be recommended, and to the information that the targeted customer shows user to be recommended, can improve the information of recommending friends and show efficient.
Based on identical technical conceive, the embodiment of the invention also provides a kind of device for displaying information of recommending friends, and as shown in Figure 4, this device can comprise:
Preferably, described determination module 430 specifically is used for:
According to the user property of described network application scene information correspondence, determine the coupling weights of each user property;
The information of each user property of the information of each user property of non-good friend user and described targeted customer is compared, and determine described non-good friend user's weights according to the coupling weights of comparison result and each user property;
In described non-good friend user, weights are defined as user to be recommended greater than the user of the weights maximum of the user of threshold value or preset number.
Preferably, described determination module 430 specifically is used for:
The coupling weights that the user property of described network application scene information correspondence is set are height, and the coupling weights of other user properties are low.
Preferably, described determination module 430 specifically is used for:
The information of each user property of the information of each user property of described non-good friend user and described targeted customer is compared, determine the user property that information is complementary;
The coupling weights sum of the user property correspondence that the information of determining is complementary is as this non-good friend user's weights.
Preferably, described display module 440 specifically is used for:
The information of showing described user to be recommended according to described weights order from high to low to described targeted customer; Perhaps,
According to described weights, in all users to be recommended, choose the user to be recommended of preset number, and show the user's to be recommended who chooses information to described targeted customer; Wherein, the probability that is selected of the user to be recommended that weights are more high is more high.
The above embodiment of the present invention, obtain targeted customer's network application scene information, information according to each user property of the user property of this network application scene information correspondence and targeted customer and corresponding non-good friend user, in non-good friend user, determine user to be recommended, and to the information that the targeted customer shows user to be recommended, can improve the information of recommending friends and show efficient.
It will be appreciated by those skilled in the art that the module in the device among the embodiment can be distributed in the device of embodiment according to the embodiment description, also can carry out respective change and be arranged in the one or more devices that are different from present embodiment.The module of above-described embodiment can be merged into a module, also can further split into a plurality of submodules.
The invention described above embodiment sequence number does not represent the quality of embodiment just to description.
Through the above description of the embodiments, those skilled in the art can be well understood to the present invention and can realize by the mode that software adds essential general hardware platform, can certainly pass through hardware, but the former is better execution mode under a lot of situation.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words can embody with the form of software product, this computer software product is stored in the storage medium, comprise that some instructions are with so that a station terminal equipment (can be mobile phone, personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the present invention.
The above only is preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be looked protection scope of the present invention.
Claims (10)
1. the information displaying method of a recommending friends is characterized in that, sets in advance the corresponding relation of network application scene information and user property, and described method comprises:
Obtain targeted customer's network application scene information;
According to the information of each user property of the user property of described network application scene information correspondence and described targeted customer and corresponding non-good friend user, in described non-good friend user, determine user to be recommended;
The information of showing described user to be recommended to described targeted customer.
2. the method for claim 1, it is characterized in that, described according to described network application scene information correspondence user property and the information of each user property of described targeted customer and corresponding non-good friend user, in described non-good friend user, determine user to be recommended, be specially:
According to the user property of described network application scene information correspondence, determine the coupling weights of each user property;
The information of each user property of the information of each user property of non-good friend user and described targeted customer is compared, and determine described non-good friend user's weights according to the coupling weights of comparison result and each user property;
In described non-good friend user, weights are defined as user to be recommended greater than the user of the weights maximum of the user of threshold value or preset number.
3. method as claimed in claim 2 is characterized in that, described user property according to described network application scene information correspondence is determined to be specially the coupling weights of each user property:
The coupling weights that the user property of described network application scene information correspondence is set are height, and the coupling weights of other user properties are low.
4. method as claimed in claim 2, it is characterized in that, the information of the information of described each user property with non-good friend user and each user property of described targeted customer is compared, and determines to be specially described non-good friend user's weights according to the coupling weights of comparison result and each user property:
The information of each user property of the information of each user property of described non-good friend user and described targeted customer is compared, determine the user property that information is complementary;
The coupling weights sum of the user property correspondence that the information of determining is complementary is as this non-good friend user's weights.
5. method as claimed in claim 2 is characterized in that, the information to described targeted customer shows described user to be recommended is specially:
The information of showing described user to be recommended according to described weights order from high to low to described targeted customer; Perhaps,
According to described weights, in all users to be recommended, choose the user to be recommended of preset number, and show the user's to be recommended who chooses information to described targeted customer; Wherein, the probability that is selected of the user to be recommended that weights are more high is more high.
6. the device for displaying information of a recommending friends is characterized in that, comprising:
Module is set, is used for arranging the corresponding relation of network application scene information and user property;
Acquisition module is for the network application scene information that obtains the targeted customer;
Determination module is used for the information according to each user property of the user property of described network application scene information correspondence and described targeted customer and corresponding non-good friend user, determines user to be recommended in described non-good friend user;
Display module is for the information of showing described user to be recommended to described targeted customer.
7. device as claimed in claim 6 is characterized in that, described determination module specifically is used for:
According to the user property of described network application scene information correspondence, determine the coupling weights of each user property;
The information of each user property of the information of each user property of non-good friend user and described targeted customer is compared, and determine described non-good friend user's weights according to the coupling weights of comparison result and each user property;
In described non-good friend user, weights are defined as user to be recommended greater than the user of the weights maximum of the user of threshold value or preset number.
8. device as claimed in claim 7 is characterized in that, described determination module specifically is used for:
The coupling weights that the user property of described network application scene information correspondence is set are height, and the coupling weights of other user properties are low.
9. device as claimed in claim 7 is characterized in that, described determination module specifically is used for:
The information of each user property of the information of each user property of described non-good friend user and described targeted customer is compared, determine the user property that information is complementary;
The coupling weights sum of the user property correspondence that the information of determining is complementary is as this non-good friend user's weights.
10. device as claimed in claim 7 is characterized in that, described display module specifically is used for:
The information of showing described user to be recommended according to described weights order from high to low to described targeted customer; Perhaps,
According to described weights, in all users to be recommended, choose the user to be recommended of preset number, and show the user's to be recommended who chooses information to described targeted customer; Wherein, the probability that is selected of the user to be recommended that weights are more high is more high.
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| CN111292107A (en) * | 2018-12-06 | 2020-06-16 | 北京嘀嘀无限科技发展有限公司 | User data processing method and device, electronic equipment and storage medium |
| CN110782319A (en) * | 2019-10-25 | 2020-02-11 | 黄建华 | Method and platform for social contact and idle article sharing |
| CN110929170A (en) * | 2019-11-22 | 2020-03-27 | 腾讯科技（深圳）有限公司 | Friend recommendation method, device, equipment and storage medium for social group |
| CN110929170B (en) * | 2019-11-22 | 2024-06-28 | 腾讯科技（深圳）有限公司 | Friend recommendation method, device and equipment of social group and storage medium |
| CN112733020A (en) * | 2020-12-31 | 2021-04-30 | 五八有限公司 | Information processing method and device |
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