CN103136226A - Method and device capable of searching user - Google Patents
Method and device capable of searching user Download PDFInfo
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- CN103136226A CN103136226A CN2011103803253A CN201110380325A CN103136226A CN 103136226 A CN103136226 A CN 103136226A CN 2011103803253 A CN2011103803253 A CN 2011103803253A CN 201110380325 A CN201110380325 A CN 201110380325A CN 103136226 A CN103136226 A CN 103136226A
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Abstract
The invention discloses a method and a device capable of searching a user. The method includes obtaining user information in a community, processing obtained user information, and generating index information; receiving a search keyword which is inputted by a user, querying corresponding index information and user information of the search keyword in the stored user information and search information, and outputting a queried and obtained result. The method and the device capable of searching the user can expand a search manner and improve search efficiency.
Description
Technical field
The present invention relates to computer communication technology, particularly a kind of method and apparatus of search subscriber.
Background technology
Development along with computer networking technology, realize the instant messaging (IM of the instant communication on the internet by point-to-point technology, Instant Messaging) Software tool is used more and more general, IM accepted by most user and become user's daily life and work in a requisite part, the user is by IM software, can realization and friend, colleague and classmate between exchanges and communication.
Miniature blog is as the part of IM tool applications, be an Information Sharing based on customer relationship, propagate and obtain platform, the user can pass through the terminal devices such as individual PC, mobile phone, express own emotion by a word about 140 words, share with the user who pays close attention to oneself, thereby realizing that personal information is shared immediately, interactive between the user, is the swiftest and the most violent Internet service of development at present.
Popularity due to miniature blog applications, the user can carry out user profile consulting and search in the community by the IM client easily, for example, realize user information search by the method with similar database search, for instance, user's login community, the searching key words such as input user's pet name or user name in the search column of community, search engine (search server) according to complete matching algorithm (for example, string matching algorithm) the user's pet name in the user profile that is complementary with user's pet name of inquiry, and this user's pet name information is showed to the user.
As seen by above-mentioned, the method for existing search subscriber is carried out user search by searching key words such as user's pet name or user names in the community, and the search means are single, are difficult to satisfy the growing information search demand of search subscriber; Further, adopt the searching method that mates fully with searching key word, make Search Results may omit the search subscriber information needed, search efficiency is lower, has reduced user's search experience; And user's pet name or user name content in the user profile of displaying are less, lack the complementary descriptor to this user.
Summary of the invention
In view of this, the present invention proposes a kind of method of search subscriber, can promote search efficiency.
The present invention also proposes a kind of device of search subscriber, can promote search efficiency.
For achieving the above object, the invention provides a kind of method of search subscriber, the method comprises:
Obtain each user profile in the community, and the user profile of obtaining is processed generating indexes information;
Receive the searching key word of user's input, index information corresponding to this searching key word and user profile are obtained in inquiry in the user profile of storing and index information respectively, and the result that inquiry obtains is exported.
Further comprise:
Obtain user corresponding to index information, inquire about the information that this user delivers;
Based on the information that each user delivers, obtain the user behavior characteristic information;
Calculate User Priority mark and sequence according to the user behavior characteristic information that obtains, the index information result corresponding to user of output sequence top N, wherein, N is natural number.
Further comprise:
Obtain the user of sequence top N, mate with the friend information of carrying out the user who searches for, according to matching result adjustment sequence, the index information result output that the user after the adjustment sequence is corresponding.
Described the user profile of obtaining is processed, generating indexes information comprises:
User profile is carried out word segmentation processing, obtain the candidate index word;
According to the word filtering policy that sets in advance, the candidate index word is filtered, obtain the index word;
The index word is carried out index process, obtain index information.
Further comprise:
The information that each user delivers is carried out word segmentation processing, obtain the candidate index word.
Further comprise:
User's pet name in user profile is carried out the multi-characters combined treatment, and the multi-characters that obtains is made up as index information.
Described user behavior characteristic information comprises: one or its combination in any in user quality characteristic attribute, text quality's characteristic attribute, propagation temperature characteristic attribute and time latitude characteristic attribute.
Described calculating User Priority mark comprises:
Obtain respectively user quality characteristic attribute value, text quality's characteristic attribute value, propagate temperature characteristic attribute value and time latitude characteristic attribute value;
The weight coefficient that sets in advance is multiplied each other with the user quality characteristic attribute value of obtaining, text quality's characteristic attribute value, propagation temperature characteristic attribute value and time latitude characteristic attribute value respectively;
Each value that obtains after calculating is multiplied each other with, as described User Priority mark.
A kind of device of search subscriber, this device comprises: information excavating module and search inquiry module, wherein,
The information excavating module be used for obtaining each user profile of community, and based on data is excavated the index information that increases remarks in the user profile of obtaining;
The search inquiry module is used for receiving the searching key word that the user inputs, and Query Information excavates module, obtains index information corresponding to this searching key word.
Further comprise: user behavior characteristic information acquisition module, priority score are calculated and order module, wherein,
User behavior characteristic information acquisition module is used for obtaining user corresponding to index information, inquires about the information that this user delivers, and based on the information that each user delivers, obtains the user behavior characteristic information;
Priority score is calculated and order module, and for index information result corresponding to user of calculating the rear output sequence of User Priority mark and sequence top N according to the user behavior characteristic information that obtains, wherein, N is natural number.
Further comprise:
Matching module for the user who obtains the sequence top N, mates with the friend information of carrying out the user who searches for, according to matching result adjustment sequence, and the index information result output that the user after the adjustment sequence is corresponding.
Described information excavating module comprises: cutting processing unit, filter element and index process unit, wherein,
The cutting processing unit is used for user profile is carried out word segmentation processing, obtains the candidate index word;
Filter element is used for according to the word filtering policy that sets in advance, the candidate index word being filtered, and obtains the index word;
The index process unit is used for the index word is carried out index process, obtains index information.
Described cutting processing unit is further used for obtaining the information that in the community, each user delivers, and information is carried out word segmentation processing, obtains the candidate index word.
Described information excavating module further comprises:
The character combination indexing units is used for user's pet name of user profile is carried out the multi-characters combined treatment, and with the multi-characters combination that the obtains index information as remarks.
As seen from the above technical solutions, the method for a kind of search subscriber that the embodiment of the present invention provides and device obtain each user profile in the community, and the user profile of obtaining are processed generating indexes information; Receive the searching key word of user's input, index information corresponding to this searching key word and user profile are obtained in inquiry in the user profile of storing and index information respectively, and the result that inquiry obtains is exported.Like this, by the user is carried out index process, make the user that carries out search if the arbitrary index information in the input index information as searching key word, can both obtain the index information corresponding with this user of this user profile and setting, the search means have not only been expanded, and can obtain this user related information as much as possible, thereby promote search efficiency and user search experience.
Description of drawings
Fig. 1 is the method flow schematic diagram of the search subscriber of the embodiment of the present invention.
Fig. 2 is the method idiographic flow schematic diagram of the search subscriber of the embodiment of the present invention.
Fig. 3 is the apparatus structure schematic diagram of the search subscriber of the embodiment of the present invention.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, the present invention is described in further detail below in conjunction with the accompanying drawings and the specific embodiments.
The existing method that adopts the complete matching algorithm search subscriber of character string by user's pet name, need the user to input user's pet name or user name accurately, if user's pet name or the user name of input are inaccurate, can cause searching for unsuccessfully, make the search means single, be difficult to satisfy the growing information search demand of search subscriber, search efficiency is lower.In the embodiment of the present invention, consideration is cut word and word segmentation processing to user profile, and the user profile of cutting word and word segmentation processing is carried out index process so that user's complementary descriptor to be provided, thereby the index that the searching key word of expansion and user's input is complementary, when showing user profile, the index information that this user is corresponding is showed in the lump, promotes user's search experience.
Fig. 1 is the method flow schematic diagram of the search subscriber of the embodiment of the present invention.Referring to Fig. 1, this flow process comprises:
Step 101 is obtained each user profile in the community, and the user profile of obtaining is processed generating indexes information;
In this step, user profile refers to the personal information information of user in business, comprising: user name, user ID (ID), user's pet name, individual's explanation etc., its data structure specifically can referring to the correlation technique document, not repeat them here.Wherein, individual's explanation comprises: text described in explanatory text and remarks.
The user profile of obtaining is processed, and generating indexes information comprises:
A11, user profile is carried out word segmentation processing, obtain the candidate index word;
In this step, can describe text, explanatory text according to the user name in user profile, user's pet name, remarks, carry out word segmentation processing, obtain each candidate index word.Wherein, learning experiences that text comprises the user, career etc. described in remarks.
About carrying out the flow process of word segmentation processing, belong to prior art, specifically can referring to the correlation technique document, not repeat them here.
Further, the information that can also deliver each user, based on data excavates the line index of going forward side by side and processes.Be execution in step A11 '.
A11 ', the information that each user is delivered are carried out word segmentation processing, obtain the candidate index word;
The word filtering policy that A12, basis set in advance filters the candidate index word, obtains the index word;
In this step, in each word that obtains, comprise some stop words and irrelevant part of speech word after word segmentation processing, this stop words and irrelevant part of speech word are redundancies to user's search, do not have practical significance, thereby, need to filter.Wherein, stop words refers to insignificant common word or some symbols, for example, " ", " energy ", " ", " with ", " he " etc., irrelevant part of speech word comprises: conjunction, descriptive word, tone function word, adjective, pronoun etc., for example, pronoun has " you ", " I ", " he " etc., conjunction have " with ", " with " etc.
A13, the index word is carried out index process, as index information.
In this step, after the index word is carried out index process, soon index information is mapped as and carries out the front corresponding user information of word segmentation processing, like this, if the searching key word of user's input comprises the index word, according to this index word, can search the user profile of this index word mapping, thereby expand the search means.
Preferably, noun in the index word that filtration is obtained, name (especially famous person), mechanism's name, professional noun, place name be index in addition, index information as remarks, like this, can guarantee that the user is passing through searching key word (for example, user's pet name) when searching for, simultaneously can obtain the index information that arranges in user profile corresponding to this searching key word, and show, with the expanded search means, promote search efficiency.
In the embodiment of the present invention, after each the text field in user profile is carried out cutting, index, can also carry out polynary character combination to user name or user's pet name, and with the index information of the multi-characters that obtains combination as remarks.Namely further comprise:
A14, the user's pet name in user profile is carried out the multi-characters combined treatment, and with the multi-characters combination that the obtains index information as remarks.
In this step, by user's pet name is carried out the multi-characters combined treatment, can improve the matching probability of the searching key word of inputting with the user, reduce the accuracy requirement to the searching key word of user's input.For example, if user's pet name is " ABCD ", the processing such as process capital and small letter conversion, full half-angle conversion, either traditional and simplified characters conversion, and carry out the multi-characters combination, can set up respectively the index information of remarks: A, B, C, D, ABC, BCD, wherein, A, B, C, D are one-gram word, and ABC, BCD are the ternary participle, like this, can be so that the searching key word of user input when comprising any one index terms in the index of remarks, can search user's pet name information corresponding to this index terms.Certainly, in practical application, also can adopt binary character to be combined the index information of setting up respectively remarks, for example, AB, AC, AD, BC, BD, CD.
Above-mentioned explanation be the participle mode of setting up index, in practical application, for user's retrieval request, the mode of its participle can be slightly different from the mode of setting up index, for example, are not more than 2 searching key word for length and carry out monobasic and cut word, for example " AB " can directly be cut into A and B; And for length more than or equal to 3 searching key word, for example " ABCD " can be cut into the form of ternary participle, that is: ABC and BCD.Like this, be ABCD for user's pet name, search subscriber can be passed through following several searching key words, search (recalling) this user's situation:
1. input a or b or c or d, ask to recall by one-gram word so;
2. input ab or bc or cd, ask also can be called back by the participle one-gram word so;
3. input abc or bcd, directly the ternary participle is recalled;
4. input abcd, can recall by the ternary participle.
Step 102 receives the searching key word that the user inputs, and inquires about respectively corresponding index information and the user profile of this searching key word in the user profile of storing and index information, and the result that inquiry obtains is exported.
In this step, after the searching key word that receives user's input, search for from the index information of user profile that search service is provided and generation, the user profile that namely is complementary according to complete matching algorithm inquiry and searching key word, and, the index information that inquiry and searching key word are complementary in the index information that generates, and the index information that search is obtained or, index information and user profile return to the user.Like this, if inquiry is less than the user profile that is complementary with searching key word in the user profile of storage, can also inquire about the index information that is complementary with searching key word and show the user from the index information of storage, the search means have not only been expanded, also promote search efficiency, and, can obtain this user related information as much as possible, promoted user search experience.
In practical application, search obtain index information corresponding to searching key word or, after index information and user profile, can further include:
Step 103 is obtained user corresponding to index information, inquires about the information that this user delivers;
In this step, subscribing relationship based on the user, obtain the social circle at user place, wherein, subscribing relationship is the relationship expression between the user, for example, after user A booking reader B formed subscribing relationship, all information of sending of user B all can be pushed to user A, and were same, all information that user A sends all can be pushed to user B, and social circle refers to user good friend's in each product community union.
From the social circle at user place, the information that inquiring user is delivered in social circle.
Step 104 based on the information that each user delivers, is obtained the user behavior characteristic information;
In this step, the user behavior characteristic information comprises: one or its combination in any in user quality characteristic attribute, text quality's characteristic attribute, propagation temperature characteristic attribute and time latitude characteristic attribute.Wherein,
The user quality characteristic attribute, the information quality of delivering in order to identifying user, usually characterize and adopt normalized with the quantity of delivering, making the interval range of the user quality characteristic attribute value after normalized is [0,1], the 1 most active user of expression, the user quality characteristic attribute value that the user that the information content of namely delivering is maximum is corresponding, the user quality characteristic attribute value corresponding to user of information do not delivered in 0 expression.
Text quality's characteristic attribute, the noun quantity that comprises in the information of delivering in order to identifying user, can adopt normalized, the interval range of text quality's characteristic attribute value is [0,1], a maximum user of noun quantity who comprises in the information that 1 expression is delivered, text quality's characteristic attribute value that the user that the noun quantity that comprises in the information of namely delivering is maximum is corresponding, text quality's characteristic attribute value corresponding to user of information do not delivered in 0 expression.About the noun that comprises in obtaining information, can and add up by aforesaid word segmentation processing obtaining.
Propagate the temperature characteristic attribute, the relay number of each information of delivering in order to identifying user, comment number and number of visits, can carry out composite computing to relaying number, comment number and number of visits according to the strategy that sets in advance, and obtain a propagation temperature characteristic attribute value by normalized;
Time latitude characteristic attribute, the time of each information of delivering in order to identifying user, the information that the user who searches delivers is more late, shows the ageing stronger of this information, and the normalized time latitude characteristic attribute value of its correspondence is also larger.for example, information time the earliest take the search server storage stabs to the current time as the time latitude, and be divided into the time period that sets in advance quantity, for instance, the information time stamp information the earliest of search server storage is before 10 hours, time dimension can be set to (1, 2, 3, 4, 5, 6, 7, 8, 9, 10), each scale represent in the past a chronomere (hour), namely 1 expression information time stamp information is before 1 hour, and time latitude characteristic attribute value corresponding to each scale be set, for example, the time latitude characteristic attribute value of 1 correspondence is 1, the time latitude characteristic attribute value of 10 correspondences is 0 etc.
Step 105 is calculated User Priority mark and sequence according to the user behavior characteristic information that obtains.
In this step, calculating User Priority mark formula is:
v＝ξ
1×userank+ξ
2×textrank+ξ
3×hotrank+ξ
4×timerank
In formula,
V is the User Priority mark;
Userank is user quality characteristic attribute value;
Textrank is text quality's characteristic attribute value;
Hotrank is for propagating temperature characteristic attribute value;
Timerank is time latitude characteristic attribute value;
ξ
1, ξ
2, ξ
3, ξ
4Be weight coefficient, can determine according to actual needs, preferably, 0≤ξ
i≤ 1,
After obtaining the User Priority mark, just sort according to priority score, and according to the strategy that sets in advance, the index information result corresponding to user of output sequence top N, wherein, N is natural number.Like this, user quality characteristic attribute, text quality's characteristic attribute, propagation temperature characteristic attribute and time latitude characteristic attribute based on information, adopt the sortord of comprehensive correlativity, satisfy the information search demand of user in the community, this is that traditional search engines is difficult to realize, the index information result of enhancing can further be provided, make the index information result more meet the demand of search subscriber, thereby further promote the search experience of search efficiency and search subscriber.
Preferably, for the user of sequence top N, can also be further with user's friend circle in friend information mate, sort according to the matching result adjustment, indexed results corresponding to user of adjusting after sorting showed to search subscriber, namely further comprise step 106.
Step 106 is obtained the user of sequence top N, mates with the user's who carries out search friend information, according to matching result adjustment sequence, with index information result output corresponding to user of adjusting after sequence.
in this step, for instance, sort according to user's off-line level attribute mark, get front 5 users, be sequentially user 1～user 5, then, mate with the friend information in user's friend circle, wherein, the user 2, user 3 and user 5 are the good friend of search subscriber, namely with user's friend circle in friend information the match is successful, the user who adjusts after sorting is respectively: the user 2, the user 3, the user 5, user 1 and user 4, that is to say, the highest with the friend information User Priority that the match is successful in user's friend circle, its corresponding index information is preferentially showed to search subscriber.Like this, mate with the good friend of search subscriber again by the user of the top N that will sort, the preferential displaying and the search subscriber good friend user that the match is successful, further promoted the search experience of search subscriber.
By as seen above-mentioned, the method for the search subscriber of the embodiment of the present invention, by obtaining each user profile in the community, and based on data excavates the index information that increases remarks in the user profile of obtaining; According to the searching key word of user's input, index information corresponding to this searching key word and user profile and output are obtained in inquiry in the community.Like this, by the user is carried out index process, make and include a plurality of index informations in this user, thereby, search subscriber if the arbitrary index information of input in index information as searching key word, can both obtain the index information corresponding with this user of this user profile and setting, thereby for search subscriber provides complementary descriptor, the search means have been expanded, satisfied the growing information search demand of search subscriber, make search subscriber obtain this user related information as much as possible, thereby promote search efficiency and user search experience.
Below take user Zhang San by name, the pet name as xiaoz19889898, individual description as IT civilian worker, poor young white collar worker's user is example, and the searching method of the embodiment of the present invention is described.
Fig. 2 is the method idiographic flow schematic diagram of the search subscriber of the embodiment of the present invention.Referring to Fig. 2, this flow process comprises:
Step 201 is obtained user profile;
In this step, search server obtains user profile, and extracts text message wherein, keeps the trunk of user profile: the poor young white collar worker of Zhang San/xiaoz/IT civilian worker.
Step 202 is carried out word segmentation processing, obtains the candidate index word;
In this step, according to existing word segmentation processing algorithm, the poor young white collar worker of Zhang San/xiaoz/IT civilian worker is carried out word segmentation processing, and user's pet name is carried out polynary character combination, the result after cutting and combination is:
, three, Zhang San;
x、i、a、o、z、xia、iao、aoz；
IT, civilian worker, poverty, little, white collar.
Step 203 is filtered the candidate index word, and the candidate index word that filtration obtains is carried out index process, as the index information of remarks;
In this step, remove nonsense words: IT, poverty, little etc. from the candidate index word, keep civilian worker, white collar, and set up index for the candidate index word after filtering, namely pass through the index word of foundation, user corresponding to this index word can be indexed, by this user, the index information of other settings in this user profile can be obtained.
Step 204 is loaded into search server with the index information of remarks;
In this step, the index information of remarks is loaded into search server, specifically can referring to the correlation technique document, repeat them here.
Step 205 receives the searching key word of user's input, mates with user profile and index information in search server, if hit, returns to Search Results; Otherwise, return to the issueless information of search.
In this step, if the searching key word of user input be " Zhang San ", pass through with search server in index mate, return to the indexed results of coupling to search subscriber: Zhang San: user's pet name is xiaoz19889898, civilian worker's white collar.If the searching key word of user's input is " three ", through with search system in index mate, indexed results from coupling to search subscriber that return to is except comprising Zhang San: user's pet name is xiaoz19889898, civilian worker's white collar, the index information that also comprises other users of mating with " three ", for example, the index information about Zhao three of storing in search server.
Fig. 3 is the apparatus structure schematic diagram of the search subscriber of the embodiment of the present invention.Referring to Fig. 3, this device comprises: information excavating module and search inquiry module, wherein,
The information excavating module is used for obtaining each user profile of community, and the user profile of obtaining is processed generating indexes information;
The search inquiry module for the searching key word that receives user's input, is inquired about respectively corresponding index information and the user profile of this searching key word, and the result that inquiry obtains is exported in the user profile of storing and index information.
Wherein, the information excavating module comprises: cutting processing unit, filter element and index process unit (not shown), wherein,
The cutting processing unit is used for user profile is carried out word segmentation processing, obtains the candidate index word;
In the embodiment of the present invention, describe text, explanatory text according to user's user name, user's pet name, remarks, carry out word segmentation processing, obtain each candidate index word.
Filter element is used for according to the word filtering policy that sets in advance, the candidate index word being filtered, and obtains the index word;
The index process unit is used for the index word is carried out index process, as the index information of remarks.
In the embodiment of the present invention, preferably, the noun in the index word that filtration is obtained, name (especially famous person), mechanism's name, professional noun, place name be index in addition, as the index information of remarks.
The cutting processing unit is further used for obtaining the information that in the community, each user delivers, and information is carried out word segmentation processing, obtains the candidate index word.
The information excavating module further comprises:
The character combination indexing units is used for user's pet name of user profile is carried out the multi-characters combined treatment, and with the multi-characters combination that the obtains index information as remarks.
This device further comprises: user behavior characteristic information acquisition module, priority score are calculated and order module, wherein,
User behavior characteristic information acquisition module is used for obtaining user corresponding to index information, inquires about the information that this user delivers, and based on the information that each user delivers, obtains the user behavior characteristic information;
In the embodiment of the present invention, the user behavior characteristic information comprises: user quality characteristic attribute, text quality's characteristic attribute, propagation temperature characteristic attribute and time latitude characteristic attribute.Wherein,
Priority score is calculated and order module, and for index information result corresponding to user of calculating the rear output sequence of User Priority mark and sequence top N according to the user behavior characteristic information that obtains, wherein, N is natural number.
Preferably, this device further comprises:
Matching module for the user who obtains the sequence top N, mates with the friend information of carrying out the user who searches for, according to matching result adjustment sequence, and the index information result output that the user after the adjustment sequence is corresponding.
In practical application, the device of this search subscriber can be search server.
The above is only preferred embodiment of the present invention, is not for limiting protection scope of the present invention.Within the spirit and principles in the present invention all, any modification of doing, be equal to and replace and improvement etc., within all should being included in protection scope of the present invention.
Claims (14)
1. the method for a search subscriber, is characterized in that, the method comprises:
Obtain each user profile in the community, and the user profile of obtaining is processed generating indexes information;
Receive the searching key word of user's input, inquire about respectively corresponding index information and the user profile of this searching key word in the user profile of storing and index information, and the result that inquiry obtains is exported.
2. the method for claim 1, is characterized in that, further comprises:
Obtain user corresponding to index information, inquire about the information that this user delivers;
Based on the information that each user delivers, obtain the user behavior characteristic information;
Calculate User Priority mark and sequence according to the user behavior characteristic information that obtains, the index information result corresponding to user of output sequence top N, wherein, N is natural number.
3. method as claimed in claim 2, is characterized in that, further comprises:
Obtain the user of sequence top N, mate with the friend information of carrying out the user who searches for, according to matching result adjustment sequence, the index information result output that the user after the adjustment sequence is corresponding.
4. as claim 1 or 2 or 3 described methods, it is characterized in that, described the user profile of obtaining is processed, generating indexes information comprises:
User profile is carried out word segmentation processing, obtain the candidate index word;
According to the word filtering policy that sets in advance, the candidate index word is filtered, obtain the index word;
The index word is carried out index process, obtain index information.
5. method as claimed in claim 4, is characterized in that, further comprises:
The information that each user delivers is carried out word segmentation processing, obtain the candidate index word.
6. method as claimed in claim 4, is characterized in that, further comprises:
User's pet name in user profile is carried out the multi-characters combined treatment, and with the index information of the multi-characters that obtains combination as remarks.
7. method as claimed in claim 2 or claim 3, is characterized in that, described user behavior characteristic information comprises: user quality characteristic attribute, text quality's characteristic attribute, propagate one or its combination in any in temperature characteristic attribute and time latitude characteristic attribute.
8. method as claimed in claim 7, is characterized in that, described calculating User Priority mark comprises:
Obtain respectively user quality characteristic attribute value, text quality's characteristic attribute value, propagate temperature characteristic attribute value and time latitude characteristic attribute value;
The weight coefficient that sets in advance is multiplied each other with the user quality characteristic attribute value of obtaining, text quality's characteristic attribute value, propagation temperature characteristic attribute value and time latitude characteristic attribute value respectively;
Each value that obtains after calculating is multiplied each other with, as described User Priority mark.
9. the device of a search subscriber, is characterized in that, this device comprises: information excavating module and search inquiry module, wherein,
The information excavating module is used for obtaining each user profile of community, and the user profile of obtaining is processed generating indexes information;
The search inquiry module for the searching key word that receives user's input, is inquired about respectively corresponding index information and the user profile of this searching key word, and the result that inquiry obtains is exported in the user profile of storing and index information.
10. device as claimed in claim 9, is characterized in that, further comprises: user behavior characteristic information acquisition module, priority score are calculated and order module, wherein,
User behavior characteristic information acquisition module is used for obtaining user corresponding to index information, inquires about the information that this user delivers, and based on the information that each user delivers, obtains the user behavior characteristic information;
Priority score is calculated and order module, and for index information result corresponding to user of calculating the rear output sequence of User Priority mark and sequence top N according to the user behavior characteristic information that obtains, wherein, N is natural number.
11. device as claimed in claim 10 is characterized in that, further comprises:
Matching module for the user who obtains the sequence top N, mates with the friend information of carrying out the user who searches for, according to matching result adjustment sequence, and the index information result output that the user after the adjustment sequence is corresponding.
12. as claim 9 or 10 or 11 described devices, it is characterized in that, described information excavating module comprises: cutting processing unit, filter element and index process unit, wherein,
The cutting processing unit is used for user profile is carried out word segmentation processing, obtains the candidate index word;
Filter element is used for according to the word filtering policy that sets in advance, the candidate index word being filtered, and obtains the index word;
The index process unit is used for the index word is carried out index process, obtains index information.
13. device as claimed in claim 12 is characterized in that, described cutting processing unit is further used for obtaining the information that in the community, each user delivers, and information is carried out word segmentation processing, obtains the candidate index word.
14. device as claimed in claim 12 is characterized in that, described information excavating module further comprises:
The character combination indexing units is used for user's pet name of user profile is carried out the multi-characters combined treatment, and with the multi-characters combination that the obtains index information as remarks.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN103559243A (en) * | 2013-10-28 | 2014-02-05 | 陶睿 | Method and system for searching users in mobile devices on basis of labels |
| CN103699675A (en) * | 2013-12-30 | 2014-04-02 | 武汉传神信息技术有限公司 | Hierarchical translator indexing method |
| CN103699675B (en) * | 2013-12-30 | 2017-07-04 | 语联网（武汉）信息技术有限公司 | A kind of method of interpreter's hierarchical index |
| CN105159899A (en) * | 2014-06-12 | 2015-12-16 | 北京搜狗科技发展有限公司 | Searching method and searching device |
| CN105913322A (en) * | 2016-04-07 | 2016-08-31 | 合肥学院 | Subscriber social circle-based information dissemination assessment method and device |
| WO2018137668A1 (en) * | 2017-01-30 | 2018-08-02 | Huawei Technologies Co., Ltd. | Personalized message priority classification |
| US10911382B2 (en) | 2017-01-30 | 2021-02-02 | Futurewei Technologies, Inc. | Personalized message priority classification |
| CN107092639A (en) * | 2017-02-23 | 2017-08-25 | 武汉智寻天下科技有限公司 | A kind of search engine system |
| CN110019190A (en) * | 2017-09-21 | 2019-07-16 | 阿里巴巴集团控股有限公司 | The method and apparatus for creating index |
| CN111611372A (en) * | 2019-02-25 | 2020-09-01 | 北京嘀嘀无限科技发展有限公司 | Search result sorting method and device and music searching method and device |
| CN110197389A (en) * | 2019-03-04 | 2019-09-03 | 腾讯科技（深圳）有限公司 | A kind of user identification method and device |
| CN110941765A (en) * | 2019-12-04 | 2020-03-31 | 青梧桐有限责任公司 | Search intention identification method, information search method and device and electronic equipment |
| CN111294275A (en) * | 2020-02-26 | 2020-06-16 | 上海云鱼智能科技有限公司 | User information indexing method, device, server and storage medium of IM tool |
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