CN103744887B

CN103744887B - It is a kind of for the method for people search, device and computer equipment

Info

Publication number: CN103744887B
Application number: CN201310717845.8A
Authority: CN
Inventors: 张超; 赵世奇
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Priority date: 2013-12-23
Filing date: 2013-12-23
Publication date: 2017-09-15
Anticipated expiration: 2033-12-23
Also published as: CN103744887A

Abstract

The present invention provides a kind of method for people search, wherein, this method comprises the following steps：Obtain the search sequence from user；At least one search participle is obtained in the search sequence；At least one candidate personage is obtained based at least one described search participle, wherein, each search participle in all or part of at least one search participle can be matched with one or more of the people tag of a candidate personage；According to each candidate personage, the weight information of people tag that matches with the search participle, all or part of candidate personage at least one described candidate personage is ranked up；Candidate personage after sequence is supplied to the user.

Description

It is a kind of for the method for people search, device and computer equipment

Technical field

The present invention relates to computer network field, more particularly to it is a kind of for the method for people search, device and computer Equipment.

Background technology

In the prior art, when user needs to search plain personage, it is more by universal search engine, inputs for searching for personage Keyword, and search in search result its information for wishing to obtain.However, because the universal search engine of prior art lacks The weary processing for people search, therefore the search engine of prior art can not provide preferable people search result, such as it often Information that substantial amounts of, user may not be needed or inaccurate can be provided.For example, search engine often provides substantial amounts of, simultaneously The non-search result for personage so that user needs to inquire about the people information of its needs in magnanimity result；In another example, search Engine may provide the people information of mistake, because often due to mischief, maliciously marking, blowing one's own trumpet in internet Factor and make it that personage introduction is not inconsistent with personage, a such as ordinary people can brag about it to be the famous cardiologist in the whole nation simultaneously quilt Search engine is supplied to user；For another example some professional personages may be movable only in minority website or community so that it is difficult to Searched engine is excavated and is supplied to user etc..

The content of the invention

It is an object of the invention to provide a kind of method, device and computer equipment for being used to search for personage.

According to an aspect of the present invention there is provided a kind of method for searching for personage, wherein, this method includes following step Suddenly：

A obtains the search sequence from user；

B obtains at least one search participle in the search sequence；

C is based at least one described search participle and obtains at least one candidate personage, wherein, at least one described search point Each search participle in all or part of word can be matched with one or more of the people tag of a candidate personage；

D according to each candidate personage, the weight information of people tag that matches with the search participle, to it is described at least All or part of candidate personage in one candidate personage is ranked up；

Candidate personage after sequence is supplied to the user by e.

According to another aspect of the present invention, a kind of searcher for being used to search for personage is additionally provided, wherein, the search Device includes：

First acquisition device, for obtaining the search sequence from user；

Second acquisition device, for obtaining at least one search participle in the search sequence；

First determining device, for obtaining at least one candidate personage based at least one described search participle, wherein, institute State at least one search participle all or part in each search participle can with the people tag of a candidate personage One or more matchings；

Collator, for according to each candidate personage, weight letter with the people tag that match of search participle Breath, is ranked up to all or part of candidate personage at least one described candidate personage；

Device is provided, for the candidate personage after sequence to be supplied into the user.

Compared with prior art, the present invention has advantages below：1）Can be retrieved for personage, and can be based on The weight of the people tag of search sequence matching, to be ranked up to candidate personage, so that personage's retrieval result is reliable Degree is higher；2）The community network activity or personal information that personage can be combined determine the weight information of its people tag, from And further ensure that the accuracy of search and sequence based on people tag；3）Personage can be realized in universal search engine Search, so as to realize the people search function of across a network community；4）Pass through other personages associated with personage and people The content that thing itself is issued to update label for the personage so that the label of personage can more effective, more complete reaction people The feature of thing, and by operations such as the addition of people tag, deletion and changes people tag is more accurately reacted The feature that personage currently has, reduces and occurs personage's omission or the inaccurate situation of people tag in people search, So that the search result of people search is more comprehensive, the search condition of user is also more conformed to.

Brief description of the drawings

By reading the detailed description made to non-limiting example made with reference to the following drawings, of the invention is other Feature, objects and advantages will become more apparent upon：

Fig. 1 is the method flow schematic diagram for being used to search for personage of one embodiment of the invention；

Fig. 2 is the method flow schematic diagram for being used to search for personage of another embodiment of the present invention；

Fig. 3 is the method flow schematic diagram for being used to search for personage of another embodiment of the present invention；

Fig. 4 is the structural representation for being used to search for the searcher of personage of one embodiment of the invention；

Fig. 5 is the structural representation for being used to search for the searcher of personage of another embodiment of the present invention；

Fig. 6 is the structural representation for being used to search for the searcher of personage of another embodiment of the present invention.

Same or analogous reference represents same or analogous part in accompanying drawing.

Embodiment

The present invention is described in further detail below in conjunction with the accompanying drawings.

Fig. 1 is the method flow schematic diagram for being used to search for personage of one embodiment of the invention.Wherein, the side of the present embodiment Method is mainly realized by computer equipment；The computer equipment includes the network equipment and user equipment；The network equipment Including but not limited to single network server, multiple webservers composition server group or based on cloud computing（Cloud Computing）The cloud being made up of a large amount of computers or the webserver, wherein, cloud computing is one kind of Distributed Calculation, by One super virtual computer of the computer collection composition of a group loose couplings；The user equipment may include but be not limited to PC Machine, tablet personal computer, smart mobile phone, PDA, IPTV etc.；Network residing for the computer equipment includes but is not limited to internet, wide Domain net, Metropolitan Area Network (MAN), LAN, VPN etc..

It should be noted that the network equipment, user equipment and network are only for example, other are existing or from now on may The computing device or network of appearance are such as applicable to the present invention, should also be included within the scope of the present invention, and with reference side Formula is incorporated herein.

Step S1, step S2, step S3, step S4 and step S5 are included according to the method for the present embodiment.Preferably, according to The method of the present embodiment can realize that the universal search engine results in personage's letter of across a network community in universal search engine Breath.

In step sl, computer equipment obtains the search sequence from user.

Wherein, the mode of search sequence of the computer equipment acquisition from user includes but is not limited to：

1）Computer equipment is the user equipment directly with user mutual, then computer equipment directly obtains user's input Search sequence.

For example, computer equipment is PC, PC directly obtains user and directly inputted in its browser searches input frame Search sequence.

2）Computer equipment obtains the search sequence that user inputs by other computer equipments.

For example, computer equipment is the network equipment, user inputs search in the browser searches input frame of user equipment The search sequence is supplied to the network equipment by sequence, user equipment by network, and the network equipment passes through the Network Capture search sequence Row.

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that any implementation for obtaining the search sequence from user, should be included in this hair In bright scope.

In step s 2, computer equipment obtains at least one search participle in the search sequence.

Specifically, computer equipment can use various ways, and at least one search participle is obtained from search sequence.

Such as a kind of step S2 preferred embodiment, step S2 further comprises step S201 and step S202.

In step s 201, computer equipment carries out participle to the search sequence, obtains participle list.

For example, computer equipment obtains the search sequence " lawyer of economic class " from user, computer in step sl Equipment carries out participle according to semantic analysis and predetermined participle dictionary to the search sequence, obtains participle list comprising " economical Class ", " " and " lawyer " participle list.

In step S202, computer equipment selects important participle from the participle list, as it is described at least one Search for participle.Wherein, computer equipment can determine whether the participle in participle list is important participle in several ways；Example As computer equipment can by the way that the participle in participle list is matched with the participle in predetermined participle dictionary, and/or, based on to searching Suo Xulie semantic analysis, searching to the semantic analysis of the participle in participle list in itself and based on the participle in participle list Syntactic position analysis in Suo Xulie etc., to determine whether the participle in participle list is important participle.

For example, in step s 201, computer equipment is obtained by carrying out participle to search sequence " lawyer of economic class " Participle list, wherein the participle included be " economic class ", " " and " lawyer "；In step S202, computer equipment will divide Participle in word list is matched with the participle in predetermined participle dictionary, and selects important participle " economical according to matching result Class " and " lawyer ", are used as two search participles corresponding to search sequence " lawyer of economic class ".

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that any carry out participle to the search sequence, obtains participle list, and from described point Important participle is selected in word list, as the implementation of at least one search participle, the model of the present invention is should be included in In enclosing.

And for example as step S2 another preferred embodiment, step S2 includes step S2 '.

In step S2 ', computer equipment carries out participle to the search sequence, obtains at least one described search point Word.

Wherein, the operation for the participle that computer equipment is carried out to search sequence, it is considered at least one of following factor：

1）The semantic difference of the different word segmentation results of the search sequence.

Preferably, the smaller participle mode of computer equipment selection semantic ambiguity.If a phrase in search sequence There is the subphrase larger with the semantic differential of the phrase in the multiple subphrases obtained after being further divided into, then selection should Complete phrase does not select the subphrase of the phrase as participle as a participle.It is and for example multiple mutual in search sequence When the phrase not included can produce multiple combinations, combination smaller with search sequence semantic difference etc. after selection combination. It should be noted that search sequence can be directly a phrase.

For example, search sequence includes phrase " iPhone ", many height that the phrase is obtained after being further divided into are short Language is " apple " and " mobile phone ", then computer equipment determines phrase " iPhone " by inquiring about the phrase categories of pre-determining Primary categories are " mobile phone ", and determine that the primary categories of the subphrase " apple " of the phrase include " fruit " and " mobile phone ", and son is short The primary categories of language " mobile phone " be " mobile phone ", then computer equipment judge " iPhone " obtained after being further divided into it is many There is the subphrase " apple " larger with the semantic differential of the phrase in individual subphrase, then computer equipment selection phrase " apple Mobile phone " does not select the subphrase " apple " and " mobile phone " of the phrase as participle as a participle.

2）The matching result of the search sequence and predetermined participle dictionary.

Preferably, when the phrase that participle acquisition is carried out with less granularity can not obtain phase therewith in predetermined participle dictionary During the vocabulary of matching, prioritizing selection carries out the phrase obtained by participle with larger granularity.If a phrase in search sequence There is the subphrase for being not belonging to predetermined participle dictionary in the multiple subphrases obtained after further subdivision, then directly select this short Language, the subphrase without selecting the phrase, is used as participle.

For example, a phrase in search sequence is acquisition subphrase " Warcraft " after " Warcraft Howard ", the phrase participle " Howard ", but in predetermined participle dictionary, without participle " Howard ", then " Warcraft Howard " is directly used as one Individual search participle.

It should be noted that in step s 201, referring to above-mentioned factor and carrying out participle operation.

It should be noted that the search participle that computer equipment is obtained can partly overlap, for example, search sequence " make by lord of the rings Person's Bristol gold " can have 3 search participles " lord of the rings author Bristol gold ", " lord of the rings author " and " Bristol gold ".

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that any carry out participle to the search sequence, obtains at least one described search participle Implementation, should be included in the scope of the present invention.

It should be noted that above-mentioned lifted a variety of preferred embodiments are only that technical scheme is better described, rather than Limitation of the present invention, it should be appreciated by those skilled in the art that any obtain in search sequence at least one search participle Implementation, such as directly by the way that search sequence is matched with a predetermined dictionary, and can be predetermined with this in search sequence The phrase of terminology match in dictionary should be included in the scope of the present invention directly as search participle etc..

In step s3, computer equipment obtains at least one based at least one the search participle obtained in step s 2 Candidate personage, wherein, each search participle in all or part of at least one search participle can be with a candidate One or more of people tag of personage is matched.For example, each search participle in each search participle of search sequence, It can be matched in the people tag of any one candidate personage；In another example, in each search participle of search sequence Important search participle, can obtain matching etc. in the people tag of any one candidate personage.Wherein, a search participle can Matched with one or more people tags.

Wherein, the candidate personage can be actual natural person, such as one star；Or virtual portrait, such as one method People organizes.

Specifically, computer equipment can use various ways, to obtain at least one candidate personage.For example, computer is set It is standby first to obtain important search participle from each search participle, then based on important search participle, to determine at least one candidate Personage；Wherein, each important search participle can be matched with one or more of the people tag of any one candidate personage. Wherein, computer equipment obtains the mode of important search participle, obtains important with foregoing reference step S202 Computers equipment The mode of participle is same or similar, will not be repeated here.

As a kind of step S3 preferred embodiment, step S3 further comprises step S31 and step S32.

In step S31, computer equipment is obtained and each search participle institute at least one described search participle The personage's list matched somebody with somebody.

Specifically, for each search participle, computer equipment is by search participle people corresponding with each personage's list Thing tag match, and the corresponding personage's list of people tag of matching is possible to, the personage matched as the search participle arranges Table.Preferably, when one, which is searched for participle, to match with multiple people tags, matching degree highest people tag institute is selected Corresponding personage's list, the personage's list matched as the search participle.Wherein, the corresponding personage's list of a people tag In each personage, be respectively provided with the people tag；If for example, having 245 in personage's list corresponding to people tag " doctor " Individual personage, then each personage in 245 personages of the grade, is respectively provided with people tag " doctor ".

For example, computer equipment obtains 2 search participles " surgery " and " doctor " of search sequence in step s 2；It is then right In search participle " doctor ", computer equipment is matched search participle people tag corresponding with each personage's list, Personage's list corresponding with people tag " doctor " is obtained, the personage's list matched as search participle " doctor "；For searching Rope participle " surgery ", computer equipment equally performs above-mentioned steps, obtains its personage's list matched.

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that any acquisition and each search participle institute at least one described search participle The implementation for the personage's list matched somebody with somebody, should be included in the scope of the present invention.

In step s 32, computer equipment determines the personage existed in personage's list that all matchings are obtained, as At least one described candidate personage.

For example, computer equipment obtains search participle " surgery " and " doctor " in step s 2, in step S31, calculate Machine equipment obtains the corresponding personage's list List1 of search participle " surgery " and the corresponding personage's list of search participle " doctor " List2, wherein, comprising personage A, B, C, D and E in List1, personage A, B, E, F and G are included in List2, then computer equipment is true Determine the presence of personage A, B and E in List1 and List2, and using personage A, B and E as search sequence candidate personage.

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that any personage for determining to exist in personage's list that all matchings are obtained, as The implementation of at least one candidate personage, should be included in the scope of the present invention.

In step s 4, computer equipment according to each candidate personage, with the people tag that matches of search participle Weight information, all or part of candidate personage at least one described candidate personage is ranked up.Wherein, candidate personage People tag weight information can by being manually specified, or, can be determined by computer equipment；Also, it is true by computer equipment The step of determining weight information, can perform during step S4 is performed, can also be performed before step S1.Wherein, computer Equipment determines that the mode of the weight information of the people tag of candidate personage will be described in detail in follow-up preferred scheme, does not exist herein Repeat.Wherein, for a candidate personage, the weight information of its people tag matched with search participle is higher, then it sorts Higher possibility is higher.

Specifically, computer equipment can using various ways come according to each candidate personage, with it is described search participle The weight information for the people tag matched somebody with somebody, is ranked up to all or part of candidate personage at least one described candidate personage.

Such as in a step S4 preferred embodiment, step S4 further comprises step S401 and step S402.

In step S401, computer equipment to each candidate personage at least one described candidate personage, according to The candidate personage, the weight information of people tag that match with least one described search participle, determine the candidate personage and The corresponding weight information of the search sequence.

For example, the search participle that computer equipment is obtained in step s 2 is " surgery " and " doctor ", obtain in step s3 Candidate personage A, B and E are obtained, wherein, candidate personage A, B and E are respectively provided with people tag " surgery " and " doctor ".Computer equipment is obtained Candidate personage A, B and E for obtaining weight information are as follows：The weighted value of candidate personage A people tag " surgery " is WA1, personage The weighted value of label " doctor " is WA2；The weighted value of candidate personage B people tag " surgery " is WB1, people tag " doctor " Weighted value be WB2；The weighted value of candidate personage E people tag " surgery " is WE1, and the weighted value of people tag " doctor " is WE2.Computer equipment is determined according to above-mentioned weight information：Candidate personage A weight information=WA1+WA2s corresponding with search sequence； Candidate personage B weight information=WB1+WB2s corresponding with search sequence；Candidate personage E weight informations corresponding with search sequence= WE1+WE2。

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that any each candidate personage at least one described candidate personage, according to this Candidate personage, the weight information of people tag that is matched with least one described search participle, determine the candidate personage and institute The implementation of the corresponding weight information of search sequence is stated, be should be included in the scope of the present invention.

In step S402, computer equipment is according to the weight information of each candidate personage, at least one described candidate All or part of candidate personage in personage is ranked up.

For example, computer equipment obtains candidate personage A, B and E in step s3.Computer equipment is true in step S401 The weight for determining candidate personage A is 95, and candidate personage B weight is 85, and candidate personage E weight is 92.In step S402, meter Calculate machine equipment to be ranked up candidate personage from high to low according to weight according to above-mentioned weight information, obtaining ranking results is：Wait Choose thing A, candidate personage E, candidate personage B.

It should be noted that computer equipment can be according to the weight information of each candidate personage, according to pre-defined rule to institute The all or part of candidate personage stated at least one candidate personage is ranked up.Wherein, the pre-defined rule can for determination The candidate personage for participating in sequence or the number for the candidate personage that may participate in sequence.

For example, pre-defined rule includes being ranked up the candidate personage that weight in candidate personage exceedes predefined weight threshold value, And predefined weight threshold value is 90, computer equipment obtains candidate personage A, B and E in step s3, and is determined in step S401 Candidate personage A weight is 95, and candidate personage B weight is 85, and candidate personage E weight is 92.In step S402, calculate Machine equipment is ranked up to the candidate personage A and E that meet the pre-defined rule, is obtained ranking results and is：Candidate personage A, candidate Thing E.

In another example, when quantity of the pre-defined rule including the thing that stands for election is more than 100, only to 100 candidate personages therein It is ranked up.Then computer equipment can first determine the candidate personage of 100 before weight, then 100 candidate personages of the grade are carried out Sequence etc..

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that any weight information according to each candidate personage, at least one described candidate The implementation that all or part of candidate personage in thing is ranked up, should be included in the scope of the present invention.

It should be noted that step S401 and step S402 have no strict sequencing, computer equipment can performed Step S402 is performed while step S401, for example, computer equipment can be after the weight information of a candidate personage be obtained, i.e., According to its weight information with other candidate personages, appropriate sorting position is inserted into, at the same time, computer equipment is also held Row step S401, obtains the weight information of another candidate personage.

And for example in step S4 another preferred embodiment, step S4 further comprises step S4 '.

In step S4 ', computer equipment according to each candidate personage, with the people tag that matches of search participle Weight information, and combine the corresponding authentication information of each candidate personage, to the whole at least one described candidate personage or Part candidate personage is ranked up.

Wherein, for a candidate personage, the weight information of its people tag matched with search participle is higher, then it is arranged The higher possibility of sequence is higher；It has authentication information, then its higher possibility that sorts is higher.

Specifically, computer equipment can use various ways, according to each candidate personage, with it is described search participle The weight information for the people tag matched somebody with somebody, and the corresponding authentication information of each candidate personage is combined, at least one described candidate All or part of candidate personage in thing is ranked up.

For example, for each candidate personage, computer equipment can be directly based upon the candidate personage, match with search participle People tag weight information and the authentication information of the candidate personage, calculate the candidate personage it is corresponding with search sequence power Weight, also, computer equipment is according to each candidate personage weight corresponding with the search sequence, in each candidate personage Completely or partially it is ranked up.

Also, step S4 ' can be combined with step S401 and S402.For example：To at least one described candidate personage Each candidate personage, computer equipment according to the candidate personage, with least one described personage for matching of search participle The weight information of label, determines the candidate personage weight information corresponding with the search sequence, and according to each candidate The weight information of thing, is ranked up to all or part of candidate personage at least one described candidate personage；Then, computer Whether equipment has authentication information according to each candidate personage, to improve the sequence of the candidate personage with authentication information, and drops The sequence of the low candidate personage without authentication information.In another example, to each candidate at least one described candidate personage Personage, computer equipment is according to the candidate personage, weight letter with least one people tag for match of search participle Breath, determines the candidate personage weight information corresponding with the search sequence, also, computer equipment is according to each candidate Whether thing has authentication information, is weighted come the weight information to each candidate personage；Also, computer equipment is according to weighting Weight information afterwards, to be ranked up to all or part of candidate personage at least one candidate personage.

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that it is any according to each candidate personage, with described search for the people tag that matches of participle Weight information, and combine the corresponding authentication information of each candidate personage, to the whole at least one described candidate personage or The implementation that part candidate personage is ranked up, should be included in the scope of the present invention.

It should be noted that step S3 and step S4 have no strict sequencing, computer equipment can perform step S3 and while obtain candidate personage, performs step S4 to be ranked up acquired candidate personage.

In step s 5, the candidate personage after sequence is supplied to the user by computer equipment.

Preferably, can be by candidate personage while the candidate personage after sequence is supplied to the user by computer equipment In additional information be supplied to user in the lump, wherein, the additional information may include the description information of the candidate personage.

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that any candidate personage by after sequence is supplied to the implementation of the user, all should Within the scope of the present invention.

As a kind of preferred scheme of the present embodiment, computer equipment determines personage's according at least one of following factor The weight information of people tag：

1）Degree of concern of other personages with the people tag to the personage.

Wherein, described other personages with the people tag can be true based on following factor to the degree of concern of the personage It is fixed：Other personages with the people tag pay close attention to or forwarded the quantity of the content of personage issue, pay close attention to the personage and have Quantity of other personages of the people tag etc..

For example, personage A has " lawyer " label, there can be " lawyer " label in other personages according to concern personage A The quantity of personage, and/or, the personage with " lawyer " label forwards quantity of notice of personage A issues etc., to determine personage The weight information of A " lawyer " label.

2）Degree of concern of the personage to other personages with the people tag.

Wherein, the personage can be determined to the degree of concern of other personages with the people tag based on following factor：Should It is that the quantity of other personages with the people tag of personage's concern, the personage forward, with the people tag other people The quantity of the content of thing issue.

For example, personage A has " lawyer " label, the people in other personages paid close attention to according to personage A with " lawyer " label The quantity of thing, and/or, personage A forwardings, the content that other personages with " lawyer " label issue quantity, to determine people The weight information of thing A " lawyer " label.

3）The quantity of the content of feature that the personage issues, with the people tag.

Wherein, computer equipment can determine whether the content there is the personage to mark by parsing the content of personage issue The feature of label.

For example, whether the phrase of the feature with the people tag can be included by parsing in the content that the personage issues Deng to determine whether the content has the feature of the people tag.

4）The degree that the content of feature that the personage issues, with the people tag is paid close attention to by other personages.Wherein, may be used Determine whether the content has the feature of the people tag by analyzing the content of personage's issue.

For example, issued according to personage A, the content of feature with " lawyer " label forwards or marked by other personages Quantity, determines the weight information of personage A " lawyer " label.

5）The degree of concern of the content of feature that the personage issues to other personages, with the people tag.

For example, other personages are issued according to personage A, the content of feature with " lawyer " label forwarded or marked The quantity of note, determines the weight information of personage A " lawyer " label.

6）Whether the personage has authentication information corresponding with the people tag.

Wherein, the authentication information includes the information of any authenticity that can be used in the certification personage.As authentication information can Including but not limited to：Professionally certified information, such as lawyer card information, doctor's operation card information, teacher's certificate information；The personage Affiliated work unit's information, lawyer's office's information where information for hospital, lawyer as where doctor etc.；Authentication is believed Breath, such as real name authentication information.Preferably, a personage can have multiple authentication informations, and each authentication information can be corresponded to not Same people tag, then when the personage is sorted as candidate personage, can only consider the people tag matched with search participle Corresponding authentication information.

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that the implementation of the weight information of any people tag for determining personage, all should be included Within the scope of the invention.

According to the scheme of the present embodiment, it can be retrieved for personage, and can be based on the people matched with search sequence The weight of thing label, to be ranked up to candidate personage, so that the reliability of personage's retrieval result is higher；Preferably, originally Embodiment can combine the community network activity of personage or personal information determines the weight information of its people tag, so as to enter One step ensure that the accuracy of search and sequence based on people tag；Preferably, the scheme of the present embodiment can be searched general Index realizes people search in holding up, so as to realize the people search function of across a network community.

Fig. 2 is the method flow schematic diagram for being used to search for personage of another embodiment of the present invention.

The method of the present embodiment is mainly realized by computer equipment；Wherein, to the meter with reference to described in embodiment illustrated in fig. 1 Any explanation of machine equipment is calculated, is contained in by reference in the present embodiment.Wherein, the method for the present embodiment includes step S1, step S2, step S3, step S4, step S5 and step S6.Wherein, step S1, step S2, step S3, step S4 and step S5 is described in detail in reference picture 1, will not be repeated here.

In step s 6, people tag and/or institute of the computer equipment according to other personages associated with a personage The content of other personages issue is stated, the people tag of the personage is updated.

Wherein, described other personages associated with a personage include with the personage exist cyberrelationship other people Thing；For example, the personage concern other personages, pay close attention to the personage other personages, with the personage have friend relation other Personage etc..

Wherein, the renewal of the people tag includes but is not limited to increase, modification and deletion of people tag etc..

Specifically, computer equipment according to the people tag of other personages associated with a personage and/or it is described its The content of his personage's issue, the mode for updating the people tag of the personage includes but is not limited to：

1）Computer equipment directly according to the people tag of other personages associated with a personage and/or it is described other The content of personage's issue, obtains one or more people tags, and according to the people tag obtained, to update the people of the personage Thing label.

Wherein, computer equipment can use various ways, according to the personage of other personages associated with a personage Label and/or the content of other described personages issue, obtain one or more people tags.

For example, computer equipment counts the people tag of other personages associated with a personage, and it will appear from quantity Sequence is higher or people tag of the quantity higher than predetermined quantity that occurs, be used as the people tag suitable for the personage.

In another example, for the people tag Tag1 of other personages, computer equipment counts people tag Tag1 and existed The number of times occurred in the people tag of all other personages associated with the personage, and people tag Tag1 is combined a large amount of Personage（Such as the personage storehouse of computer equipment）People tag in the number of times that occurs, to determine that people tag Tag1 whether can It is enough to characterize the feature of other personages associated with the personage, and the people tag of characteristic feature is possible to as suitable for described The people tag of renewal.Wherein, people tag Tag1 occurs in the people tag of other personages associated with the personage Number of times is higher, and in substantial amounts of personage（Such as the personage storehouse of computer equipment）People tag in the number of times that occurs it is lower, then people Thing label Tag1 characteristic present ability is stronger, is more operated suitable for updating；People tag Tag1 is associated with the personage The number of times occurred in the people tag of other personages is lower, and in substantial amounts of personage（Such as the personage storehouse of computer equipment）Personage The number of times occurred in label is higher, then people tag Tag1 characteristic present sexuality is weak, is not suitable for updating operation.

In another example, the content that computer equipment is issued according to other personages associated with a personage, and according to this etc. The feature for the people tag that content has, to determine one or more people tags.If computer equipment is according to a personage There is substantial amounts of medical speciality vocabulary in the content of associated other personages issue, determine people tag " doctor " etc..

2）Step S6 further comprises step S61, step S62 and step S63.

In step S61, computer equipment is according to the address feature and network of other personages associated with the personage Other personages associated with the personage are divided into multiple packets by social networks feature.

Preferably, the address feature includes network address feature.IP address e.g., including used in other personages.

Preferably, the network social intercourse relation may include any incidence relation in Web Community.For example, other personages There is concern relation, other personages and the personage with the personage and there is friend relation, other personages and personage concern identical Personage etc..

Specifically, other personages with same or analogous address feature or network social intercourse relationship characteristic, it is easier to quilt It is divided into one group.For example, IP address is same or like（As 3 sections identical before IP address）Other personages be divided into one group；Again For example, will have concern relation or friend relation with the personage, and pay close attention to other personages of same star personality and be divided into One group etc., wherein, star personality can be determined by factors such as its bean vermicelli numbers.

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that the address feature and network of any basis other personages associated with the personage Social networks feature, other personages associated with the personage is divided into the implementation of multiple packets, should be included in In the scope of the present invention.

In step S62, computer equipment according in the multiple packet completely or partially packet include described in other The people tag of personage and/or the content of other described personages issue, obtain one or more people tags.Wherein, computer The people tag for other personages that equipment is included according to being each grouped and/or the content of other described personages issue, are obtained The mode of one or more people tags, the foregoing implementation 1 with step S6）In, computer equipment directly according to one The people tag for other personages that personage is associated and/or the content of other described personages issue, obtain one or more personages The mode of label is same or similar, will not be repeated here.

For example, in step S61, other personages associated with personage A are divided into group G1 and group G2 by computer equipment, In step S62, the personage that the personage that computer equipment parsing obtains in group G1 90% is respectively provided with " doctor " label, and group G1 sends out The content 80% of cloth is relevant with " surgery ", then computer equipment obtains " doctor " label and " surgery " label.

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that it is any according in the multiple packet completely or partially packet include described in other The people tag of personage and/or the content of other described personages issue, obtain the implementation of one or more people tags, Should within the scope of the present invention.

In step S63, computer equipment updates personage's mark of the personage according to one or more of people tags Label.

For example, computer equipment in step S62 according to associated with personage A other personages acquisition " doctor " label and " surgery " label, and personage A does not have two labels, then adds two labels for personage A.

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that it is any according to one or more of people tags, update personage's mark of the personage The implementation of label, should be included in the scope of the present invention.

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that people tag and/or the institute of any basis other personages associated with a personage The content of other personages issue is stated, the implementation of the people tag of the personage is updated, should be included in the scope of the present invention It is interior.

With the scheme according to the present embodiment, label is updated for the personage by other personages associated with personage so that The feature for reacting personage of the label energy of personage more effectively, more complete, and pass through the addition of people tag, delete and change Enable people tag more accurately to react the feature that personage currently has Deng operation, reduce and occur in people search Personage omits or the inaccurate situation of people tag, so that the search result of people search is more comprehensive, also more accords with Share the search condition at family.

It should be noted that for simplicity, step S6 is placed in before step S1 in Fig. 2, but those skilled in the art It will be understood that step S6 and step S1 to step S5 has no sequencing.

Fig. 3 is the method flow schematic diagram for being used to search for personage of another embodiment of the present invention.

The method of the present embodiment is mainly realized by computer equipment；Wherein, to the meter with reference to described in embodiment illustrated in fig. 1 Any explanation of machine equipment is calculated, is contained in by reference in the present embodiment.Wherein, the method for the present embodiment includes step S1, step S2, step S3, step S4, step S5, step S7 and step S8.Wherein, step S1, step S2, step S3, step S4 and step S5 are described in detail in reference picture 1, will not be repeated here.

In the step s 7, the content that computer equipment is issued according to the personage, determines at least one people tag.

Specifically, the content that computer equipment is issued according to personage, determines the mode of at least one people tag, and foregoing The content that step S6 Computers equipment is issued according to other personages, determine at least one people tag mode is identical or phase Seemingly.

For example, each in the content that computer equipment is issued to personage A is parsed, each in the content is extracted The frequency that word occurs, excludes everyday words, modal particle and conjunction etc., obtains the multiple words of frequency of occurrences highest and is used as this The keyword of content, and judge the corresponding people tag of grade keyword for " doctor " label by semantic analysis.

It should be noted that the above-mentioned examples are merely illustrative of the technical solutions of the present invention, rather than to the limit of the present invention System, it should be appreciated by those skilled in the art that the content issued according to the personage, determines the realization side of at least one people tag Formula, should be included in the scope of the present invention.

In step s 8, computer equipment updates the people tag of the personage according at least one described people tag.

Wherein, computer equipment updates the mode of the people tag of the personage according at least one described people tag, With abovementioned steps S63 Computers equipment according to one or more people tags, the mode of the people tag of the personage is updated It is same or similar, it will not be repeated here.

It should be noted that for simplicity, step S7 and S8 are placed in before step S1 in Fig. 3, but art technology Personnel will be understood that step S7 and S8 and step S1 to step S5 has no sequencing.

With the scheme according to the present embodiment, the people tag of personage can be updated according to the issue content of personage so that The feature for reacting personage of the label energy of personage more effectively, more complete, and the content that can be issued by personage itself, it is more accurate The feature that true reaction personage currently has, reduces and occurs personage's omission in people search or people tag is inaccurate Situation so that the search result of people search is more comprehensive, also more conform to the search condition of user.

Fig. 4 is the structural representation for being used to search for the searcher of personage of one embodiment of the invention.

The searcher of the present embodiment includes the first acquisition device 1, the second acquisition device 2, the first determining device 3, sequence Device 4 and offer device 5.Preferably, the searcher of the present embodiment may include in computer equipment.The computer equipment can The function of universal search engine is realized, the universal search engine results in the people information of across a network community.

First acquisition device 1 obtains the search sequence from user.

Wherein, the first acquisition device 1 obtains the mode of the search sequence from user and included but is not limited to：

1）Computer equipment where searcher is the user equipment directly with user mutual, then the first acquisition device 1 Directly obtain the search sequence of user's input.

For example, the computer equipment where searcher is PC, the first acquisition device 1 directly obtains user directly in PC The search sequence inputted in the browser searches input frame of machine.

2）First acquisition device 1 obtains the search sequence that user inputs by other computer equipments.

For example, the computer equipment where searcher is the network equipment, user is defeated in the browser searches of user equipment Enter and search sequence is inputted in frame, the search sequence is supplied to the network equipment by user equipment by network, and the first acquisition device 1 leads to Cross the Network Capture search sequence.

Second acquisition device 2 obtains at least one search participle in the search sequence.

Specifically, the second acquisition device 2 can use various ways, and at least one search participle is obtained from search sequence.

Such as a kind of preferred embodiment of the second acquisition device 2, the second acquisition device 2 further comprises participle device（Figure It is not shown）And selection device（It is not shown）.

Participle device carries out participle to the search sequence, obtains participle list.

For example, the first acquisition device 1 obtains the search sequence " lawyer of economic class " from user, participle device is according to language Justice analysis and predetermined participle dictionary, participle is carried out to the search sequence, obtain participle list comprising " economic class ", " " and The participle list of " lawyer ".

Selection device selects important participle from the participle list, is used as at least one described search participle.Wherein, select Selecting device can determine whether the participle in participle list is important participle in several ways；For example selection device can be by inciting somebody to action Participle in participle list is matched with the participle in predetermined participle dictionary, and/or, based on the semantic analysis to search sequence, right The semantic analysis of participle in itself in participle list and the syntactic position based on the participle in participle list in search sequence Analysis etc., to determine whether the participle in participle list is important participle.

For example, participle device obtains participle list, wherein wrapping by carrying out participle to search sequence " lawyer of economic class " The participle contained be " economic class ", " " and " lawyer "；Selection device is by the participle in participle list and predetermined participle dictionary Participle matched, and important participle " economic class " and " lawyer " are selected according to matching result, are used as search sequence " economic class Lawyer " corresponding to two search participles.

And for example as another preferred embodiment of the second acquisition device 2, the second acquisition device 2 includes sub- acquisition device（Figure It is not shown）.

Sub- acquisition device carries out participle to the search sequence, obtains at least one described search participle.

Wherein, the operation for the participle that sub- acquisition device is carried out to search sequence, it is considered at least one of following factor：

Preferably, the smaller participle mode of sub- acquisition device selection semantic ambiguity.If a phrase in search sequence There is the subphrase larger with the semantic differential of the phrase in the multiple subphrases obtained after being further divided into, then selection should Complete phrase does not select the subphrase of the phrase as participle as a participle.It is and for example multiple mutual in search sequence When the phrase not included can produce multiple combinations, combination smaller with search sequence semantic difference etc. after selection combination. It should be noted that search sequence can be directly a phrase.

For example, search sequence includes phrase " iPhone ", many height that the phrase is obtained after being further divided into are short Language is " apple " and " mobile phone ", then sub- acquisition device determines phrase " iPhone " by inquiring about the phrase categories of pre-determining Primary categories are " mobile phone ", and determine that the primary categories of the subphrase " apple " of the phrase include " fruit " and " mobile phone ", and son is short The primary categories of language " mobile phone " are " mobile phone ", then to judge that " iPhone " is obtained after being further divided into more for sub- acquisition device There is the subphrase " apple " larger with the semantic differential of the phrase in individual subphrase, then sub- acquisition device selection phrase " apple Mobile phone " does not select the subphrase " apple " and " mobile phone " of the phrase as participle as a participle.

It should be noted that participle device, which refers to above-mentioned factor, carries out participle operation.

It should be noted that the search participle that searcher is obtained can partly overlap, for example, search sequence " lord of the rings author Bristol gold " can have 3 search participles " lord of the rings author Bristol gold ", " lord of the rings author " and " Bristol gold ".

First determining device 3 obtains at least one candidate based at least one search participle that the second acquisition device 2 is obtained Personage, wherein, each search participle in all or part of at least one search participle can be with a candidate personage The matching of one or more of people tag.For example, each search participle in each search participle of search sequence, equal energy Matched in the people tag of any one candidate personage；In another example, it is important in each search participle of search sequence Participle is searched for, matching etc. can be obtained in the people tag of any one candidate personage.Wherein, a search participle can be with one Individual or multiple people tag matchings.

Specifically, the first determining device 3 can use various ways, to obtain at least one candidate personage.For example, first is true Determine device 3 first can obtain important search participle from each search participle, then based on important search participle, to determine at least one Candidate personage；Wherein, each important search participle can be one or more of with the people tag of any one candidate personage Matching.Wherein, the first determining device 3 obtains the mode of important search participle, and the side of important participle is obtained with foregoing selection device Formula is same or similar, will not be repeated here.

As a kind of preferred embodiment of the first determining device 3, the first determining device 3 further comprises that list of steps obtains dress Put（It is not shown）With personage's determining device（It is not shown）.

List acquisition device obtains the personage matched with each search participle at least one described search participle and arranged Table.

Specifically, for each search participle, list acquisition device is corresponding with each personage's list by the search participle People tag is matched, and is possible to the corresponding personage's list of people tag of matching, the personage matched as the search participle List.Preferably, when one, which is searched for participle, to match with multiple people tags, matching degree highest people tag is selected Corresponding personage's list, the personage's list matched as the search participle.Wherein, the corresponding personage's row of a people tag Each personage in table, is respectively provided with the people tag；If for example, having in personage's list corresponding to people tag " doctor " 245 personages, then each personage in 245 personages of the grade, is respectively provided with people tag " doctor ".

For example, the second acquisition device 2 obtains 2 search participles " surgery " and " doctor " of search sequence；Then for search Participle " doctor ", list acquisition device is matched search participle people tag corresponding with each personage's list, is obtained Personage's list corresponding with people tag " doctor ", the personage's list matched as search participle " doctor "；For search point Word " surgery ", list acquisition device equally performs aforesaid operations, obtains its personage's list matched.

Personage's determining device determines the personage existed in personage's list that all matchings are obtained, is used as described at least one Individual candidate personage.

For example, the second acquisition device 2 obtains search participle " surgery " and " doctor ", list acquisition device obtains search participle " surgery " the corresponding personage's list List1 and corresponding personage's list List2 of search participle " doctor ", wherein, included in List1 Personage A, B, E, F and G are included in personage A, B, C, D and E, List2, then personage's determining device determines to deposit in List1 and List2 In personage A, B and E, and using personage A, B and E as search sequence candidate personage.

Collator 4 is right according to each candidate personage, the weight information of people tag that matches with the search participle All or part of candidate personage at least one described candidate personage is ranked up.Wherein, the people tag of candidate personage Weight information can by being manually specified, or, can be determined by computer equipment；Also, weight information is determined by computer equipment Step, can perform during collator 4 performs operation, can also be performed before the first acquisition device 1.Wherein, calculate Machine equipment determines that the mode of the weight information of the people tag of candidate personage will be described in detail in follow-up preferred scheme, herein not Repeating.Wherein, for a candidate personage, the weight information of its people tag matched with search participle is higher, then it is arranged The higher possibility of sequence is higher.

Specifically, collator 4 can using various ways come according to each candidate personage, with it is described search participle match People tag weight information, all or part of candidate personage at least one described candidate personage is ranked up.

Such as in a preferred embodiment of collator 4, collator 4 further comprises the first weight determining device（Figure It is not shown）With the first sub- collator（It is not shown）.

First weight determining device is to each candidate personage at least one described candidate personage, according to the candidate Thing, the weight information of people tag that is matched with least one described search participle, determine the candidate personage and the search The corresponding weight information of sequence.

For example, the search participle that the second acquisition device 2 is obtained is " surgery " and " doctor ", the first determining device 3 is waited Choose thing A, B and E, wherein, candidate personage A, B and E are respectively provided with people tag " surgery " and " doctor ".First weight determining device Candidate personage A, B and E of acquisition weight information are as follows：The weighted value of candidate personage A people tag " surgery " is WA1, people The weighted value of thing label " doctor " is WA2；The weighted value of candidate personage B people tag " surgery " is WB1, people tag " doctor The weighted value of life " is WB2；The weighted value of candidate personage E people tag " surgery " is WE1, the weight of people tag " doctor " It is worth for WE2.First weight determining device is determined according to above-mentioned weight information：Candidate personage A weight letters corresponding with search sequence Breath=WA1+WA2；Candidate personage B weight information=WB1+WB2s corresponding with search sequence；Candidate personage E is corresponding with search sequence Weight information=WE1+WE2.

First sub- collator is according to the weight information of each candidate personage, to complete at least one described candidate personage Portion or part candidate personage are ranked up.

For example, the first determining device 3 obtains candidate personage A, B and E.First weight determining device determines candidate personage A's Weight is 95, and candidate personage B weight is 85, and candidate personage E weight is 92.First sub- collator is believed according to above-mentioned weight Breath is ranked up to candidate personage according to weight from high to low, is obtained ranking results and is：Candidate personage A, candidate personage E, candidate Personage B.

It should be noted that the first sub- collator can be according to the weight information of each candidate personage, according to pre-defined rule All or part of candidate personage at least one described candidate personage is ranked up.Wherein, the pre-defined rule is used for true Surely the candidate personage that may participate in sequence or the number for the candidate personage that may participate in sequence.

For example, pre-defined rule includes being ranked up the candidate personage that weight in candidate personage exceedes predefined weight threshold value, And predefined weight threshold value is 90, the first determining device 3 obtains candidate personage A, B and E, and the first weight determining device determines candidate Thing A weight is 95, and candidate personage B weight is 85, and candidate personage E weight is 92.First sub- collator should to meeting Candidate the personage A and E of pre-defined rule are ranked up, and are obtained ranking results and are：Candidate personage A, candidate personage E.

In another example, when quantity of the pre-defined rule including the thing that stands for election is more than 100, only to 100 candidate personages therein It is ranked up.Then the first sub- collator can first determine the candidate personage of 100 before weight, then to 100 candidate personages of the grade It is ranked up.

It should be noted that the operation that the triggering of the first weight determining device and the first sub- collator is performed has no strictly Sequencing, the first weight determining device can with the first sub- collator simultaneously perform operation, for example, searcher acquisition After the weight information of one candidate personage, the first sub- collator is according to its weight information with other candidate personages, by it The appropriate sorting position of insertion, at the same time, the first weight determining device obtains the weight information of another candidate personage.

And for example in another preferred embodiment of collator 4, collator 4 further comprises the second sub- collator （It is not shown）.

Second sub- collator is according to each candidate personage, weight letter with the people tag that match of search participle Breath, and the corresponding authentication information of each candidate personage is combined, to all or part of candidate at least one described candidate personage Personage is ranked up.

Specifically, the second sub- collator can use various ways, be divided according to each candidate personage's with the search The weight information of the people tag of word matching, and the corresponding authentication information of each candidate personage is combined, at least one described time The all or part of candidate personage chosen in thing is ranked up.

For example, for each candidate personage, the second sub- collator can be directly based upon the candidate personage's and search for participle The weight information of the people tag of matching and the authentication information of the candidate personage, calculate the candidate personage corresponding with search sequence Weight, also, the second sub- collator is according to each candidate personage weight corresponding with the search sequence, to each candidate All or part in personage is ranked up.

Also, the function that the second sub- collator is realized with the first weight determining device and the first sub- collator can phase With reference to.For example：To each candidate personage at least one described candidate personage, and according to the candidate personage, with it is described The weight information of the people tag of at least one search participle matching, determines that the candidate personage is corresponding with the search sequence Weight information, and according to the weight information of each candidate personage, all or part at least one described candidate personage is waited Thing of choosing is ranked up；Then, whether authentication information is had according to each candidate personage, to improve the candidate with authentication information The sequence of personage, and reduce the sequence of the candidate personage without authentication information.In another example, at least one described candidate personage In each candidate personage, can be according to the candidate personage, with least one people tag for matching of search participle Weight information, determines the candidate personage weight information corresponding with the search sequence, also, be according to each candidate personage It is no that there is authentication information, it is weighted come the weight information to each candidate personage；Also, according to the weight information after weighting, To be ranked up to all or part of candidate personage at least one candidate personage.

It should be noted that the operation that the first determining device 3 and collator 4 are performed has no strict sequencing, While first determining device 3 performs operation and obtains candidate personage, collator 4 can be arranged acquired candidate personage Sequence.

Device 5 is provided the candidate personage after sequence is supplied to the user.

, can be by candidate personage while the candidate personage after sequence preferably is supplied into the user there is provided device 5 Additional information be supplied to user in the lump, wherein, the additional information may include the description information of the candidate personage.

As a kind of preferred scheme of the present embodiment, searcher includes the second weight determining device（It is not shown）, the Two weight determining devices are used to, according at least one of following factor, determine the weight information of the people tag of personage：

1）Degree of concern of other personages with the people tag to the personage.

2）Degree of concern of the personage to other personages with the people tag.

Wherein, the content that the second weight determining device can be issued by parsing the personage is somebody's turn to do to determine whether the content has The feature of people tag.

Fig. 5 is the result schematic diagram for being used to search for the searcher of personage of another embodiment of the present invention.

Wherein, the searcher of the present embodiment include the first acquisition device 1, the second acquisition device 2, the first determining device 3, Collator 4, the offer updating device 6 of device 5 and first.Wherein, the first acquisition device 1, the second acquisition device 2, first are determined Device 3, collator 4 and offer device 5 are described in detail in reference picture 4, will not be repeated here.

First updating device 6 according to the people tag of other personages associated with a personage and/or it is described other people The content of thing issue, updates the people tag of the personage.

Specifically, the first updating device 6 is according to the people tag of other personages associated with a personage and/or described The content of other personages issue, the mode for updating the people tag of the personage includes but is not limited to：

1）First updating device 6 is directly according to the people tag of other personages associated with a personage and/or described The content of other personages issue, obtains one or more people tags, and according to the people tag obtained, to update the personage People tag.

Wherein, the first updating device 6 can use various ways, according to the people of other personages associated with a personage Thing label and/or the content of other described personages issue, obtain one or more people tags.

For example, the first updating device 6 counts the people tag of other personages associated with a personage, and it will appear from number People tag of the quantity higher than a predetermined quantity that be higher or occurring that sort of amount, is used as personage's mark suitable for the personage Label.

In another example, for the people tag Tag1 of other personages, the first updating device 6 counts people tag Tag1 The number of times occurred in the people tag of all other personages associated with the personage, and people tag Tag1 is combined big The personage of amount（Such as the personage storehouse of computer equipment）People tag in the number of times that occurs, whether to determine people tag Tag1 The feature of other personages associated with the personage can be characterized, and is possible to the people tag of characteristic feature as suitable for institute State the people tag of renewal.Wherein, people tag Tag1 occurs in the people tag of other personages associated with the personage Number of times it is higher, and in substantial amounts of personage（Such as the personage storehouse of computer equipment）People tag in the number of times that occurs it is lower, then People tag Tag1 characteristic present ability is stronger, is more operated suitable for updating；People tag Tag1 is associated with the personage Other personages people tag in the number of times that occurs it is lower, and in substantial amounts of personage（Such as the personage storehouse of computer equipment）People The number of times occurred in thing label is higher, then people tag Tag1 characteristic present sexuality is weak, is not suitable for updating operation.

In another example, the content that the first updating device 6 is issued according to other personages associated with a personage, and according to this The feature for the people tag having etc. content, to determine one or more people tags.If the first updating device 6 is according to one There is substantial amounts of medical speciality vocabulary in the content for other personages issue that personage is associated, determine people tag " doctor " etc..

2）First updating device 6 further comprises apparatus for grouping（It is not shown）, the first label determining device（It is not shown Go out）With sub- updating device（It is not shown）.

Apparatus for grouping, will according to the address feature and network social intercourse relationship characteristic of other personages associated with the personage Other personages associated with the personage are divided into multiple packets.

First label determining device other personages according to being completely or partially grouped and include in the multiple packet People tag and/or the content of other described personages issue, obtain one or more people tags.Wherein, the first label is determined The people tag for other personages that device is included according to being each grouped and/or the content of other described personages issue, are obtained The mode of one or more people tags, the foregoing implementation 1 with the first updating device 6）In, the first updating device 6 is direct The content issued according to the people tag of other personages associated with a personage and/or other described personages, obtains one Or the mode of multiple people tags is same or similar, will not be repeated here.

For example, other personages associated with personage A are divided into group G1 and group G2, the first label determining device by apparatus for grouping The content 80% for personage's issue that the personage that parsing obtains in group G1 90% is respectively provided with " doctor " label, and group G1 has with " surgery " Close, then the first label determining device obtains " doctor " label and " surgery " label.

Sub- updating device updates the people tag of the personage according to one or more of people tags.

For example, the first label determining device obtains " doctor " label and " outer according to other personages associated with personage A Section " label, and personage A does not have two labels, then sub- updating device is that personage A adds two labels.

It should be noted that showing that the logical order of the first updating device 6 is located at first and obtained for simplicity, in Fig. 5 Before device 1, but those skilled in the art will be understood that the first updating device 6 is held with the first acquisition device 1 to device 5 is provided Capable operation has no sequencing.

The searcher of the present embodiment includes the first acquisition device 1, the second acquisition device 2, the first determining device 3, sequence Device 4, offer device 5, the second label determining device 7 and the second updating device 8.Wherein, the first acquisition device 1, second is obtained Device 2, the first determining device 3, collator 4 and offer device 5 are described in detail in reference picture 4, will not be repeated here.

The content that second label determining device 7 is issued according to the personage, determines at least one people tag.

Specifically, the content that the second label determining device 7 is issued according to personage, determines the side of at least one people tag Formula, the content issued with foregoing first updating device 6 according to other personages, determine at least one people tag mode it is identical or It is similar.

For example, each in the content that the second label determining device 7 is issued to personage A is parsed, the content is extracted In the frequency that occurs of each word, exclude everyday words, modal particle and conjunction etc., obtain the multiple words of frequency of occurrences highest Language and judges that by semantic analysis the corresponding people tag of grade keyword is marked for " doctor " as the keyword of the content Label.

Second updating device 8 updates the people tag of the personage according at least one described people tag.

Wherein, the second updating device 8 updates the side of the people tag of the personage according at least one described people tag Formula, with foregoing sub- updating device according to one or more people tags, update the people tag of the personage mode it is identical or It is similar, it will not be repeated here.

It should be noted that showing that the logical order of the first acquisition device 1 is true in the second label for simplicity, in Fig. 6 Before determining the updating device 8 of device 7 and second, but those skilled in the art will be understood that the second label determining device 7 and second more Sequencing is had no between the acquisition device 1 of new equipment 8 and first to the operation that the execution of device 5 is provided.

It should be noted that the present invention can be carried out in the assembly of software and/or software and hardware, for example, this hair Each bright device can use application specific integrated circuit（ASIC）Or any other similar hardware device is realized.In one embodiment In, software program of the invention can realize steps described above or function by computing device.Similarly, it is of the invention Software program（Including related data structure）It can be stored in computer readable recording medium storing program for performing, for example, RAM memory, Magnetically or optically driver or floppy disc and similar devices.In addition, some steps or function of the present invention can employ hardware to realize, example Such as, as coordinating with processor so as to performing the circuit of each step or function.

It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, Er Qie In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter From the point of view of which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the present invention is by appended power Profit is required rather than described above is limited, it is intended that all in the implication and scope of the equivalency of claim by falling Change is included in the present invention.Any reference in claim should not be considered as to the claim involved by limitation.This Outside, it is clear that the word of " comprising " one is not excluded for other units or step, and odd number is not excluded for plural number.That is stated in system claims is multiple Unit or device can also be realized by a unit or device by software or hardware.The first, the second grade word is used for table Show title, and be not offered as any specific order.

Claims

1. a kind of method for searching for personage, wherein, this method comprises the following steps：

A obtains the search sequence from user；

B obtains at least one search participle in the search sequence；

C is based at least one described search participle and obtains at least one candidate personage, wherein, at least one search participle Each search participle in all or part can be matched with one or more of the people tag of a candidate personage；

D according to each candidate personage, the weight information of people tag that matches with the search participle, to it is described at least one All or part of candidate personage in candidate personage is ranked up, wherein, the community network with reference to candidate personage is movable or individual People's information determines the weight information of the people tag of the candidate personage；

Candidate personage after sequence is supplied to the user by e；

Wherein, this method also includes：

The feature of x other personages according to can characterizing whether the people tag of other personages associated with a personage, And/or, the content of other personages issue updates the people tag of the personage, wherein, the people of other personages The number of times that thing label occurs in the people tag of all other personages associated with the personage is higher, and a large amount of personages' The number of times occurred in people tag is lower, then the characteristic present ability of the people tag of other personages is stronger, more applicable Operated in updating.

2. according to the method described in claim 1, wherein, the step c comprises the following steps：

- obtain personage's list that each search participle at least one described search participle is matched；

The personage that-determination exists in personage's lists that all matchings are obtained, is used as at least one described candidate personage.

3. method according to claim 1 or 2, wherein, the step d comprises the following steps：

- to each candidate personage at least one described candidate personage, according to the candidate personage, with it is described at least one The weight information of the people tag of participle matching is searched for, the candidate personage weight letter corresponding with the search sequence is determined Breath；

- according to the weight information of each candidate personage, to all or part of candidate personage at least one described candidate personage It is ranked up.

4. method according to claim 1 or 2, wherein, the step d comprises the following steps：

- according to each candidate personage, the weight information of people tag that match with the search participle, and combination each candidate The corresponding authentication information of personage, is ranked up to all or part of candidate personage at least one described candidate personage.

5. method according to claim 1 or 2, wherein, the step b comprises the following steps：

- participle is carried out to the search sequence, obtain participle list；

- important participle is selected from the participle list, it is used as at least one described search participle.

6. method according to claim 1 or 2, wherein, the step b comprises the following steps：

- participle is carried out to the search sequence, obtain at least one described search participle；

Wherein, the operation of the participle considers at least one of following factor：

The semantic difference of the different word segmentation results of-search sequence；

The matching result of-the search sequence and predetermined participle dictionary.

7. according to the method described in claim 1, wherein, the step x comprises the following steps：

- according to address feature and the network social intercourse relationship characteristic of other personages associated with the personage, will be with the personage Other associated personages are divided into multiple packets；

Whether-the people tag of other personages according to being completely or partially grouped and include in the multiple packet can characterize The feature of other personages, and/or, the content of other personages issue obtains one or more people tags；

- according to one or more of people tags, update the people tag of the personage.

8. the method according to claim 1,2 or 7, wherein, this method is further comprising the steps of：

- the content issued according to the personage, determines at least one people tag；

- according at least one described people tag, update the people tag of the personage.

9. the method according to claim 1,2 or 7, wherein, this method is further comprising the steps of：

- according at least one of following factor, determine the weight information of the people tag of personage；

Degree of concern of-other personages with the people tag to the personage；

Degree of concern of-the personage to other personages with the people tag；

The quantity of the content of feature that the-personage issues, with the people tag；

The degree that the content of feature that the-personage issues, with the people tag is paid close attention to by other personages；

The degree of concern of the content of feature that the-personage issues to other personages, with the people tag；

Whether-the personage has authentication information corresponding with the people tag.

10. a kind of searcher for being used to search for personage, wherein, the searcher includes：

First acquisition device, for obtaining the search sequence from user；

First determining device, for based on it is described at least one search participle obtain at least one candidate personage, wherein, it is described extremely Each search participle in all or part of few search participle can be with one in the people tag of a candidate personage Individual or multiple matchings；

Collator, it is right for according to each candidate personage, the weight information of people tag that matches with the search participle All or part of candidate personage at least one described candidate personage is ranked up, wherein, with reference to the community network of candidate personage Network activity or personal information determine the weight information of the people tag of the candidate personage；

Device is provided, for the candidate personage after sequence to be supplied into the user；

Wherein, the searcher also includes：

First updating device, it is described for that whether can be characterized according to the people tag of other personages associated with a personage The feature of other personages, and/or, the content of other personages issue updates the people tag of the personage, wherein, it is described The number of times that the people tag of other personages occurs in the people tag of all other personages associated with the personage is got over Height, and the number of times occurred in the people tag of a large amount of personages is lower, the then mark sheet of the people tag of other personages Levy ability stronger, more operated suitable for updating.

11. searcher according to claim 10, wherein, first determining device includes：

List acquisition device, is arranged for obtaining the personage matched with each search participle at least one described search participle Table；

Personage's determining device, for determining the personage that exists in personage's lists that all matchings are obtained, as it is described at least One candidate personage.

12. the searcher according to claim 10 or 11, wherein, the collator includes：

First weight determining device, for each candidate personage at least one described candidate personage, according to the candidate Personage, the weight information of people tag that is matched with least one described search participle, determine that the candidate personage searches with described Weight information corresponding Suo Xulie；

First sub- collator, for the weight information according to each candidate personage, at least one described candidate personage All or part of candidate personage is ranked up.

13. the searcher according to claim 10 or 11, wherein, the collator includes：

Second sub- collator, for according to each candidate personage, the weight of people tag that matches with the search participle Information, and the corresponding authentication information of each candidate personage is combined, all or part at least one described candidate personage is waited Thing of choosing is ranked up.

14. the searcher according to claim 10 or 11, wherein, second acquisition device includes：

Participle device, for carrying out participle to the search sequence, obtains participle list；

Selection device, for selecting important participle from the participle list, is used as at least one described search participle.

15. the searcher according to claim 10 or 11, wherein, second acquisition device includes following device：

Sub- acquisition device：For carrying out participle to the search sequence, at least one described search participle is obtained；

16. searcher according to claim 10, wherein, first updating device includes：

Apparatus for grouping, for the address feature according to other personages associated with the personage and network social intercourse relationship characteristic, Other personages associated with the personage are divided into multiple packets；

First label determining device, for other personages according to being completely or partially grouped and include in the multiple packet Whether people tag can characterize the feature of other personages, and/or, the content of other personages issue obtains one Or multiple people tags；

Sub- updating device, for according to one or more of people tags, updating the people tag of the personage.

17. the searcher according to claim 10,11 or 16, wherein, the searcher also includes：

Second label determining device, for the content issued according to the personage, determines at least one people tag；

Second updating device, for according at least one described people tag, updating the people tag of the personage.

18. the searcher according to claim 10,11 or 16, wherein, the searcher also includes：

Second weight determining device, for according at least one of following factor, determining the weight information of the people tag of personage；

Degree of concern of-other personages with the people tag to the personage；

Degree of concern of-the personage to other personages with the people tag；

19. a kind of computer equipment, including the searcher as any one of claim 10 to 18.