CN103365913A - Search result ordering method and device - Google Patents
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- CN103365913A CN103365913A CN2012101007066A CN201210100706A CN103365913A CN 103365913 A CN103365913 A CN 103365913A CN 2012101007066 A CN2012101007066 A CN 2012101007066A CN 201210100706 A CN201210100706 A CN 201210100706A CN 103365913 A CN103365913 A CN 103365913A
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Abstract
The invention provides a search result ordering method and device applied to a human search system of a network cell. The method includes the steps of receiving retrieval requests of retrieval users, acquiring feature information of the retrieval users and user search results corresponding to the retrieval requests of the retrieval users, determining relevancy between each user search record in the user search results and each search user according to the feature information of the search users, and conducting ordering on the relevancy among all the user search records in the user search results and the search users from large to small and outputting the ordering result. By the adoption of the method and device for ordering the search results, target users who have high relevancy with the retrieval users can be rapidly searched out.
Description
Technical field
The present invention relates to the search engine technique field, particularly a kind of search result ordering method and device.
Background technology
Along with the rapid emergence of Web Community, the number of users of Web Community sharply increases, and the user is also more and more stronger to the demand of searching people's function in the Web Community.
Existing network community is searched in people's function, the user initiatively inputs term, and seek qualified user by some screening conditions, for example, the user inputs term " light rain ", then system can return the pet name in this Web Community and is all users' of " light rain " Search Results, still, can not show the relation between the user of the user that is retrieved and retrieval in Search Results.
In fact; the user can wish to find and the stranger who oneself has the same interest hobby usually; thereby expand own customer relationship in Web Community; and in existing the realization; the user of retrieval needs to click one by one the information of watching each user who is retrieved; such as age of, user, sex, interest etc. can determine whether it is own interested user, and pilot process is long.
Summary of the invention
In view of this, the object of the present invention is to provide a kind of search result ordering method, the method can arrive the targeted customer higher with the retrieval user degree of correlation by fast finding.
To achieve these goals, the invention provides a kind of search result ordering method, be applied to the robot system of searching in the Web Community, each user's characteristic information in the pre-stored Web Community, the method comprises:
Receive the retrieval request of retrieval user, obtain the user search result corresponding to retrieval request of characteristic information and the retrieval user of retrieval user;
Determine among the user search result the degree of correlation between every user search record and the retrieval user according to the characteristic information of retrieval user;
With all user searchs record among the user search result according to and retrieval user between degree of correlation order ordering and output from big to small.
The present invention also provides a kind of search results ranking device, and this device comprises: storage unit, acquiring unit, computing unit, sequencing unit;
Described storage unit is for pre-stored each user's of Web Community characteristic information;
Described acquiring unit for the retrieval request that receives retrieval user, obtains the user search result corresponding to retrieval request of characteristic information and the retrieval user of retrieval user;
Described computing unit is for the degree of correlation of determining according to the characteristic information of retrieval user between every user search record of user search result and the retrieval user;
Described sequencing unit, be used for user search as a result all user searchs records according to and retrieval user between degree of correlation order ordering and output from big to small.
By top technical scheme as can be known, among the present invention, carry out search results ranking according to the degree of correlation between the user who is retrieved corresponding to every user search record among the characteristic information of retrieval user and the user search result the characteristic information, thereby can preferentially show the user search record higher with the degree of correlation of retrieval user, can arrive the targeted customer higher with the retrieval user degree of correlation by fast finding.
Description of drawings
Fig. 1 is embodiment of the invention network topology schematic diagram;
Fig. 2 is embodiment of the invention search result ordering method process flow diagram;
Fig. 3 is the structural representation of embodiment of the invention search results ranking device
Embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer, below in conjunction with the accompanying drawing embodiment that develops simultaneously, technical method of the present invention is elaborated.
Referring to Fig. 1, Fig. 1 is embodiment of the invention network topology schematic diagram, comprise user terminal, the user B of user A user terminal ..., user X a plurality of users' such as user terminal user terminal and providing search the server of people's service, wherein, user A, user the B respectively user terminal by separately are connected to network, and can be connected to equally by access to netwoks the server of network, the user terminal here can be the equipment that mobile phone, computing machine etc. have function of surfing the Net.In addition, the communication between user terminal and the server can be adopted existing communication protocol, such as Transmission Control Protocol, udp protocol etc.
When user A wants other user in the Network Search community, can send retrieval request to server by user terminal, in the specific implementation, can sign in to Web Community, in Web Community, provide in the interface of searching people's function and input term, and click the corresponding button that triggers retrieval, send to server to generate retrieval request.After server receives the retrieval request of user A, obtain user search result corresponding to term who carries in the retrieval request, and the degree of correlation between every user search record and the user A among definite user search result, according to the degree of correlation from big to small order ordering and export each user search record, in fact that is to say to return to user A with being carried at search behind each user search record ordering in replying.
Be elaborated below in conjunction with Fig. 2:
Fig. 2 is embodiment of the invention search result ordering method process flow diagram, may further comprise the steps:
Step 201, receive the retrieval request of retrieval user, obtain characteristic information and the user search result corresponding to retrieval request of retrieval user;
Here, described retrieval user that is to say the user who initiates retrieval request.Described retrieval request comprises term and initiates the user's of retrieval request sign (id).
In Web Community, each user has characteristic information separately, before this step, can be in advance each user's characteristic information be stored in the server.Here, user's characteristic information comprises: the one or more characteristic information in user's pet name, age, sex, address, constellation, user tag (personalized labels of users such as " after 80s ", " residence woman "), hobby, the game ratings.Can adopt the form shown in the table one to store each user's characteristic information:
| User id | User's pet name | Age | Sex | The address | Constellation | User tag | Hobby | Game ratings |
| 1 | Light rain | 25 | The woman | Beijing | Taurus | The residence woman | Film | The CS middle rank |
| 2 | Xiao Ming | 30 | The man | Shanghai | Scorpio | After 80s | Tourism | Legend are senior |
| … |
Table one
After server receives the retrieval request of retrieval user, can obtain according to the id of the retrieval user that carries in the retrieval request characteristic information of retrieval user, retrieve the user who meets this retrieval request according to the term that carries in the retrieval request, thereby obtain the user search result.Here, can comprise one or more user search record among the described user search result, wherein each bar user search record is corresponding to a user who is retrieved, and its particular content can be this user's who is retrieved characteristic information.
Step 202, determine among the user search result the degree of correlation between every user search record and the retrieval user according to the characteristic information of retrieval user.
In actual applications, server can the characteristic information of retrieval user and every user search record is corresponding the user's who is retrieved characteristic information mate, to determine the degree of correlation between this user search record and the retrieval user, in fact also be the user who is retrieved corresponding to this user search record and the degree of correlation between the retrieval user.The degree of correlation is higher, then illustrate retrieval user and the user who is retrieved have more multiclass like or identical feature, this user who is retrieved more might be one of potential more interested user of retrieval user.
In this step, described characteristic information according to retrieval user determines among the user search result that the method for the degree of correlation between every user search record and the retrieval user is specifically as follows: the user's who is retrieved that every characteristic information of retrieval user is corresponding with this user search record individual features information is mated according to default characteristic information matched rule corresponding to this characteristic information, if the match is successful, then the value with the degree of correlation of this user search record and retrieval user increases by 1.
In actual applications, can also treat with a certain discrimination according to the significance level of user's various features information, for example, user A has identical hobby with user B, user A has the identical age with user C, then user A may be higher than interest level to user C to the interest level of user B, therefore, can set in advance according to the significance level of every characteristic information weighted value corresponding to this characteristic information, thereby when the degree of correlation of determining between the user, according to the difference of the characteristic information that the match is successful, obtain the different degrees of correlation, thereby improve the levels of precision that calculates the degree of correlation between the user.
Like this, in this step, described characteristic information according to retrieval user determine among the user search result degree of correlation between every user search record and the retrieval user method can also for: the user's who is retrieved that every characteristic information of retrieval user is corresponding with this user search record individual features information is mated according to default characteristic information matched rule corresponding to this characteristic information, if the match is successful, then this user search record is increased weighted value corresponding to this characteristic information with the value of the degree of correlation of retrieval user.
Here, described default characteristic information matched rule can carry out different settings according to the difference of characteristic information, for example:
When characteristic information comprises user's pet name, default characteristic information matched rule corresponding to this characteristic information can be set be: user's pet name is identical;
When characteristic information comprises the age, default characteristic information matched rule corresponding to this characteristic information can be set be: the age differs and is no more than preset value (for example 3 years old);
When characteristic information comprises sex, default characteristic information matched rule corresponding to this characteristic information can be set be: sex is identical or sex is different;
When characteristic information comprises constellation, default characteristic information matched rule corresponding to this characteristic information can be set is: the identical or constellation of constellation is complementary, for example, situation about being complementary for constellation, can pre-stored all constellations that are complementary pair, when carrying out the constellation coupling, according to the pre-stored constellation that is complementary whether the constellation of judging two users is complementary;
When characteristic information comprises hobby, default characteristic information matched rule corresponding to this characteristic information can be set be: hobby is similar, and for example, if two users' hobby belongs to a certain class word, then two users' hobby is similar.
If a certain characteristic information of user A and user B meets default characteristic information matched rule corresponding to this characteristic information, then the match is successful for this characteristic information of user A and user B.
Step 203, with all user searchs record among the user search result according to and retrieval user between degree of correlation order ordering and output from big to small.
In this step, server with all user searchs record among the user search result according to and retrieval user between the degree of correlation from big to small the order ordering and during output, the further value of the degree of correlation between all user search records of output and the retrieval user.
Above search result ordering method of the present invention is had been described in detail, the present invention also provides a kind of search results ranking device.
Referring to Fig. 3, Fig. 3 is the structural representation of embodiment of the invention search results ranking device, and this application of installation is searched robot system in Web Community, comprising: storage unit 301, acquiring unit 302, computing unit 303, sequencing unit 304; Wherein,
Acquiring unit 302 for the retrieval request that receives retrieval user, obtains the user search result corresponding to retrieval request of characteristic information and the retrieval user of retrieval user; Here, described retrieval user that is to say the user who initiates retrieval request;
Carry the sign (id) of term and retrieval user in the described retrieval request;
Described acquiring unit 302 obtains the characteristic information of retrieval user according to the sign (id) of the retrieval user that carries in the retrieval request; Obtain all user search results corresponding to retrieval request according to the term that carries in the retrieval request.
Described user's characteristic information comprises the one or more characteristic information in user's pet name, age, sex, address, constellation, user tag, hobby, the game ratings.
In said apparatus, described computing unit 303 is when the degree of correlation of determining according to the characteristic information of retrieval user among the user search result between every user search record and the retrieval user, be used for: the user's who is retrieved that every characteristic information of retrieval user is corresponding with this user search record individual features information is mated according to default characteristic information matched rule corresponding to this characteristic information, if the match is successful, then the value with the degree of correlation of this user search record and retrieval user increases by 1.
This device also comprises setting unit, for the weighted value corresponding to every characteristic information of the characteristic information that sets in advance the user;
Described computing unit 303 is when the degree of correlation of determining according to the characteristic information of retrieval user among the user search result between every user search record and the retrieval user, be used for: the user's who is retrieved that every characteristic information of retrieval user is corresponding with this user search record individual features information is mated according to default characteristic information matched rule corresponding to this characteristic information, if the match is successful, then this user search record is increased weighted value corresponding to this characteristic information with the value of the degree of correlation of retrieval user.
In said apparatus, described sequencing unit 304 in the user search result all user searchs record according to and retrieval user between the degree of correlation from big to small the order ordering and during output, further export the value of the degree of correlation between all user search records and the retrieval user.
In the invention described above embodiment, receive the retrieval request of retrieval user at server, and acquire the user search result of correspondence according to the term that carries in the retrieval request after, the user's who is retrieved that every user search record is corresponding among characteristic information by retrieval user relatively and the user search result characteristic information obtains the degree of correlation between this Search Results and the retrieval user, the coincidence situation of the characteristic information between the user is participated in the ordering, in the situation that satisfy search condition, to preferentially show retrieval user with the higher user search of retrieval user degree of correlation record, thereby can make the retrieval user fast finding to the targeted customer higher with the degree of correlation of self, can effectively strengthen the sociability of community and interactive.
The above only is preferred embodiment of the present invention, and is in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of making, is equal to replacement, improvement etc., all should be included within the scope of protection of the invention.
Claims (12)
1. a search result ordering method is applied to the robot system of searching in the Web Community, it is characterized in that, and each user's characteristic information in the pre-stored Web Community, the method comprises:
Receive the retrieval request of retrieval user, obtain the user search result corresponding to retrieval request of characteristic information and the retrieval user of retrieval user;
Determine among the user search result the degree of correlation between every user search record and the retrieval user according to the characteristic information of retrieval user;
With all user searchs record among the user search result according to and retrieval user between degree of correlation order ordering and output from big to small.
2. search result ordering method according to claim 1 is characterized in that,
Carry the sign id of term and retrieval user in the described retrieval request;
Obtain the characteristic information of retrieval user according to the id of the retrieval user that carries in the retrieval request;
Obtain all user search results corresponding to retrieval request according to the term that carries in the retrieval request.
3. search result ordering method according to claim 1 is characterized in that,
Described user's characteristic information comprises the one or more characteristic information in user's pet name, age, sex, address, constellation, user tag, hobby, the game ratings.
4. search result ordering method according to claim 3 is characterized in that,
Described characteristic information according to retrieval user determines among the user search result that the method for the degree of correlation between every user search record and the retrieval user is: the user's who is retrieved that every characteristic information of retrieval user is corresponding with this user search record individual features information is mated according to default characteristic information matched rule corresponding to this characteristic information, if the match is successful, then the value with the degree of correlation of this user search record and retrieval user increases by 1.
5. search result ordering method according to claim 3 is characterized in that, sets in advance user's weighted value corresponding to every characteristic information;
Described characteristic information according to retrieval user determines among the user search result that the method for the degree of correlation between every user search record and the retrieval user is: the user's who is retrieved that every characteristic information of retrieval user is corresponding with this user search record individual features information is mated according to default characteristic information matched rule corresponding to this characteristic information, if the match is successful, then this user search record is increased weighted value corresponding to this characteristic information with the value of the degree of correlation of retrieval user.
6. the described search result ordering method of arbitrary claim is characterized in that according to claim 1-5,
With all user searchs record among the user search result according to and retrieval user between the degree of correlation from big to small the order ordering and during output, further export the value of the degree of correlation between all user search records and the retrieval user.
7. a search results ranking device is applied to the robot system of searching in the Web Community, it is characterized in that, this device comprises: storage unit, acquiring unit, computing unit, sequencing unit;
Described storage unit is for pre-stored each user's of Web Community characteristic information;
Described acquiring unit for the retrieval request that receives retrieval user, obtains the user search result corresponding to retrieval request of characteristic information and the retrieval user of retrieval user;
Described computing unit is for the degree of correlation of determining according to the characteristic information of retrieval user between every user search record of user search result and the retrieval user;
Described sequencing unit, be used for user search as a result all user searchs records according to and retrieval user between degree of correlation order ordering and output from big to small.
8. search results ranking device according to claim 7 is characterized in that,
Carry the sign id of term and retrieval user in the described retrieval request;
Described acquiring unit obtains the characteristic information of retrieval user according to the id of the retrieval user that carries in the retrieval request; Obtain all user search results corresponding to retrieval request according to the term that carries in the retrieval request.
9. search results ranking device according to claim 7 is characterized in that,
Described user's characteristic information comprises the one or more characteristic information in user's pet name, age, sex, address, constellation, user tag, hobby, the game ratings.
10. search results ranking device according to claim 9 is characterized in that,
Described computing unit is when the degree of correlation of determining according to the characteristic information of retrieval user among the user search result between every user search record and the retrieval user, be used for: the user's who is retrieved that every characteristic information of retrieval user is corresponding with this user search record individual features information is mated according to default characteristic information matched rule corresponding to this characteristic information, if the match is successful, then the value with the degree of correlation of this user search record and retrieval user increases by 1.
11. search results ranking device according to claim 9 is characterized in that this device also comprises setting unit, is used for setting in advance user's weighted value corresponding to every characteristic information;
Described computing unit is when the degree of correlation of determining according to the characteristic information of retrieval user among the user search result between every user search record and the retrieval user, be used for: the user's who is retrieved that every characteristic information of retrieval user is corresponding with this user search record individual features information is mated according to default characteristic information matched rule corresponding to this characteristic information, if the match is successful, then this user search record is increased weighted value corresponding to this characteristic information with the value of the degree of correlation of retrieval user.
12. the described search results ranking device of arbitrary claim is characterized in that according to claim 7-11,
Described sequencing unit in the user search result all user searchs record according to and retrieval user between the degree of correlation from big to small the order ordering and during output, further export the value of the degree of correlation between all user search records and the retrieval user.
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