CN102456019A - Retrieval method and device - Google Patents
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- CN102456019A CN102456019A CN2010105196814A CN201010519681A CN102456019A CN 102456019 A CN102456019 A CN 102456019A CN 2010105196814 A CN2010105196814 A CN 2010105196814A CN 201010519681 A CN201010519681 A CN 201010519681A CN 102456019 A CN102456019 A CN 102456019A
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Abstract
The invention discloses a retrieval method and device, belonging to the technical field of retrieval. The method comprises the following steps: receiving retrieval words input by a user; obtaining relevant information of the user and analyzing the relevant information to obtain scene data matched with the user; and carrying out retrieval in a retrieval database according to the retrieval words and the scene data. The method and the device provided by the invention have the following beneficial effects: by obtaining the scene data matched with the user and carrying out retrieval according to the retrieval words input by the user and the scene data, retrieval can be carried out according to the retrieval intention of the user so that the obtained retrieval results are more pertinent and accurate.
Description
Technical field
The present invention relates to the retrieval technique field, particularly a kind of search method and device.
Background technology
Popularizing rapidly of internet become landmark of information era, and anyone can pass through network issued information at any time and any place.Information bank the inside huge fast and effeciently finds the information that the user needs, and makes search engine become the good assistant of searching information.
Existing search engine is when retrieval; After the user imports term, need the user in result for retrieval, to search information needed repeatedly, or in whole retrieving; Need user's modification term repeatedly, and in result for retrieval, screen repeatedly own Useful Information.
There is following shortcoming at least in prior art:
Existing search engine is when realizing retrieval, and same term can obtain same result for retrieval, that is to say, existing retrieval mode is all general for all users, causes result for retrieval not have specific aim, and accuracy is not high yet.
Summary of the invention
The embodiment of the invention provides a kind of search method and device, and it can solve, and result for retrieval does not have specific aim, the problem that accuracy is not high yet in the existing retrieval mode.Said technical scheme is following:
On the one hand, a kind of search method is provided, said method comprises:
Receive the term of user's input;
Obtain said user's relevant information, and said relevant information is analyzed, obtain the context data that is complementary with said user;
Retrieve in searching database according to said term and context data.
Wherein, before the term of said reception user input, also comprise:
Obtain document data, and according to said document data structure searching database;
Saidly in searching database, retrieve, specifically comprise: comprising according to said term and context data:
The term of importing according to the log information statistics of user's of said webpage click and by the relation of webpage clicking, and confirm said user's retrieval behavioural characteristic according to said session log information;
Obtain comprising the context data of at least a information in userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and the retrieval behavioural information according to the relation of statistics, definite retrieval behavioural characteristic and the said user profile that gets access to.
On the other hand, a kind of indexing unit is provided also, said device comprises:
Receiver module is used to receive the term that the user imports;
First acquisition module is used to obtain said user's relevant information, and said relevant information is analyzed, and obtains the context data that is complementary with said user;
Retrieval module, the context data that term that is used for receiving according to said receiver module and said first acquisition module get access to is retrieved at searching database.
Wherein, said first acquisition module specifically comprises:
First acquiring unit is used to obtain said user's log information, and said log information comprises the log information and the session log information of webpage click at least;
Second acquisition unit, the term that the log information statistics of user's of the webpage click that is used for getting access to according to said first acquiring unit was imported and by the relation of webpage clicking, and confirm said user's retrieval behavioural characteristic according to said session log information;
The 3rd acquiring unit is used for obtaining comprising according to the relation of said second acquisition unit statistics and definite retrieval behavioural characteristic the context data of userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and at least a information of retrieval behavioural information.
Alternatively, said first acquisition module specifically comprises:
The 4th acquiring unit is used to obtain said user's user profile, and said user profile comprises a kind of information in the information, fileinfo, interaction platform information of user's browsing page at least;
The 5th acquiring unit is used for obtaining comprising according to the said user profile analysis that said the 4th acquiring unit gets access to the context data of userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and at least a information of retrieval behavioural information.
Alternatively, said first acquisition module specifically comprises:
First acquiring unit is used to obtain said user's log information, and said log information comprises the log information and the session log information of webpage click at least;
Retrieve in the searching database of said structure according to said term and context data.
The said document data that obtains specifically comprises:
Grasp web data and/or receive the web data that pushes, and said web data is carried out text resolution, obtain document data.
Said according to said document data structure searching database, specifically comprise:
Said document data to getting access to is classified, subject extraction and speech relationship analysis are handled, and the document data after will handling carries out data directory, obtains searching database.
The said relevant information of obtaining said user specifically comprises:
Obtain said user's log information, said log information comprises the log information and the session log information of webpage click at least;
Said said relevant information is analyzed, is obtained the context data that is complementary with said user, specifically comprise:
The term of importing according to the log information statistics of user's of said webpage click and by the relation of webpage clicking, and confirm said user's retrieval behavioural characteristic according to said session log information;
Obtain comprising the context data of at least a information in userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and the retrieval behavioural information according to relation and definite retrieval behavioural characteristic of statistics.
Alternatively, the said relevant information of obtaining said user specifically comprises:
Obtain said user's user profile, said user profile comprises a kind of information in the information, fileinfo, interaction platform information of user's browsing page at least;
Said said relevant information is analyzed, is obtained the context data that is complementary with said user, specifically comprise:
Obtain comprising the context data of at least a information in userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and the retrieval behavioural information according to the said user profile analysis that gets access to.
Alternatively, the said relevant information of obtaining said user specifically comprises:
Obtain said user's log information and user profile; Said log information comprises the log information and the session log information of webpage click at least, and said user profile comprises a kind of information in the information, fileinfo, interaction platform information of user's browsing page at least;
Said said relevant information is analyzed, obtained the context data that is complementary with said user, concrete
Second acquisition unit, the term that the log information statistics of user's of the webpage click that is used for getting access to according to said first acquiring unit was imported and by the relation of webpage clicking, and confirm said user's retrieval behavioural characteristic according to said session log information;
The 4th acquiring unit is used to obtain said user's user profile, and said user profile comprises a kind of information in the information, fileinfo, interaction platform information of user's browsing page at least;
The 6th acquiring unit is used for the context data that said user profile that the relation according to said second acquisition unit statistics, definite retrieval behavioural characteristic and the 4th acquiring unit get access to obtains comprising userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and at least a information of retrieval behavioural information.
The beneficial effect of the technical scheme that the embodiment of the invention provides is:
Through obtaining the context data that is complementary with the user, and retrieve, thereby can retrieve, make the result for retrieval that obtains have more specific aim and accuracy according to user's retrieval wish according to term and context data.
Description of drawings
In order to be illustrated more clearly in the technical scheme in the embodiment of the invention; The accompanying drawing of required use is done to introduce simply in will describing embodiment below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the search method process flow diagram that the embodiment of the invention one provides;
Fig. 2 is the search method process flow diagram that the embodiment of the invention two provides;
Fig. 3 is the indexing unit structural representation that the embodiment of the invention three provides;
Fig. 4 is the another kind of structural representation of the indexing unit that provides of the embodiment of the invention three;
Fig. 5 is the first acquisition module structural representation that the embodiment of the invention three provides;
Fig. 6 is the another kind of structural representation of first acquisition module that provides of the embodiment of the invention three;
Fig. 7 is another structural representation of first acquisition module that provides of the embodiment of the invention three.
Embodiment
For making the object of the invention, technical scheme and advantage clearer, will combine accompanying drawing that embodiment of the present invention is done to describe in detail further below.
Embodiment one
Referring to Fig. 1, present embodiment provides a kind of search method, and this search method flow process is specific as follows:
101: the term that receives user's input;
102: obtain user's relevant information, and relevant information is analyzed, obtain the context data that is complementary with the user;
103: in searching database, retrieve according to term and context data.
The method that present embodiment provides through obtaining the context data that is complementary with the user, and is retrieved according to term and context data, thereby can be retrieved according to user's retrieval wish, makes the result for retrieval that obtains have more specific aim and accuracy.
Embodiment two
Present embodiment provides a kind of search method; This method is through obtaining user's relevant information; Obtain the context data that is complementary with the user according to user's relevant information, and in retrieving, consider user's context data, thus the specific aim and the accuracy of raising result for retrieval.Wherein, user's relevant information comprises user's log information and/or user profile.For the ease of explanation, present embodiment comprises simultaneously that with user's relevant information user's log information and user profile are example, and the method that present embodiment is provided is described in detail.Referring to Fig. 2, the method flow that present embodiment provides is specific as follows:
201: obtain document data, and according to document data structure searching database;
Wherein, searching database is requisite in the retrieval technique, also has the mode of multiple structure searching database in the prior art.In the present embodiment, be example only to construct searching database according to the document data that gets access to.
For how obtaining document data, present embodiment is not done concrete qualification equally, and guaranteeing to get access to more comprehensively, data get final product.The mode of obtaining document data that present embodiment is taked includes but not limited to grasp web data and/or receives the web data that pushes, and web data is carried out text resolution, obtains document data.Wherein, present embodiment does not limit web data that grabs and the web data that receives propelling movement, and in order to construct the wider and practical searching database of coverage, the web data content that grasps or receive should be enriched as far as possible.When constructing searching database according to the document data that gets access to; For the ease of later retrieval; Need classify to the document data that gets access to, processing such as subject extraction and speech relationship analysis, and the document data after will handling carries out data directory, obtains searching database.
202: the term to user's input carries out word segmentation processing, obtains word segmentation result;
To this step; After the user imports term triggering search operaqtion; It has been comparatively ripe prior art that the term of user input is carried out word segmentation processing, for identical term, adopts different word segmentation processing modes; The word segmentation result that obtains also maybe be different, and present embodiment does not specifically limit the mode of word segmentation processing.For example, when carrying out word segmentation processing, can significant speech on the linguistics identified the term " 26 Games for university students " of user input, comprised " 26 ", " " and the word segmentation result of " Games for university students " these 3 speech unit.
203: obtain user's log information and user profile, and user's log information and user profile are analyzed, obtain the context data that is complementary with the user;
Particularly; Because user's log information and user profile can be reacted a user's multiple information, for the retrieval intention of abundant digging user, present embodiment has taked to obtain user's the log information and the mode of user profile; Through the log information and the user profile that get access to are analyzed; And then drawing the context data that is complementary with the user, the retrieval of reacting the user through context data is intended to, and then has more retrieval service targetedly for the user provides.
Wherein, User's log information includes but not limited to the log information and the session log information of webpage click, for example, and the term that the user once imported in a period of time; And the webpage of clicking according to the result for retrieval of selecting or the like; Then when user's log information is analyzed, the term that can import according to the log information statistics of user's of webpage click and by the relation of webpage clicking, and confirm user's retrieval behavioural characteristic according to session log information.This user's retrieval behavioural characteristic can be reacted user's retrieval wish, and for example, the purpose of user search is in order to check news, or in order to obtain information or the like.
User's user profile includes but not limited to information, fileinfo, the interaction platform information of user's browsing page; For example, the user browsed the webpage of which type, content of webpage or the like; Interaction platform can be a chat tool; Forum etc., interaction platform information can be the personal information that the user fills in when registration or login interaction platform, or interaction content information or the like.
After relevant informations such as log information that has obtained the user and user profile; Through the information that gets access to is analyzed; Can obtain comprising at least a information in userspersonal information (Who), retrieval cause information (Why), information retrieval time (When), retrieve location information (Where), term information (What), retrieval purpose information (Want) and the retrieval behavioural information (How), owing to this category information is to obtain according to relevant informations such as user's log information and user profile, thereby present embodiment is with 7 key elements of this category information as the user search behavior; Be referred to as the context data that is complementary with the user; The context data that different user is corresponding different, present embodiment does not limit the particular content of context data, in the actual application; Context data both can comprise the one or more key elements in 7 key elements; Also can comprise whole key elements, can also on the basis of these 7 key elements, increase other key elements, thereby help to excavate more accurately user's retrieval intention.
204: in searching database, retrieve according to word segmentation result and context data.
To this step, retrieval is very common prior art in database, but in the present embodiment; In the retrieving, also to consider the context data that is complementary with the user, promptly retrieve according to the user search intention; Thereby can return the result for retrieval that user expectation obtains, for example, the term of user's input is " apple "; Because the implication of this speech is more, not only represents fruit, also has multilayer implications such as software, website, movie name; Maybe be when the user imports this term just in order to obtain the corresponding relevant information of a kind of implication wherein, if only retrieve according to this term, the result for retrieval that then obtains can be a lot; Not only quantity is many, and content also can be varied, even result for retrieval is had certain sortord; The result for retrieval that also is difficult to directly user expectation obtained is shown to the user, usually can't need the user in a plurality of result for retrieval, to screen the result for retrieval of expectation with avoiding.
And the method that provides for present embodiment, because log information and user profile through obtaining the user have obtained the context data that is complementary with the user; And this context data can reflect user's search intention; For example, the retrieval that has provided the user in the context data is intended to software, then when retrieval; Can relevant software information be retrieved out and offer the user, thereby reduce user's repeated screening result for retrieval.
Need to prove; The method that present embodiment provides; Can also omit the step of term being carried out word segmentation processing, promptly at the term that receives user's input, and after the context data that obtains being complementary with the user; Directly retrieve in searching database according to term and context data, present embodiment is not done concrete qualification to this.
The method that present embodiment provides; Through obtaining the context data that is complementary with the user; And retrieve according to the word segmentation result and the context data of the term of user input, thereby can retrieve according to user's retrieval wish, make the result for retrieval that obtains have more specific aim and accuracy.
Embodiment three
Referring to Fig. 3, present embodiment provides a kind of indexing unit, and this device comprises:
Referring to Fig. 4, this indexing unit also comprises:
Constructing module 305 is used for the document data structure searching database that gets access to according to second acquisition module 304;
Correspondingly, retrieval module 303, the context data that the term that specifically is used for receiving according to receiver module 301 and first acquisition module 302 get access to is retrieved at the searching database of constructing module 305 structures.
Wherein, second acquisition module 304 specifically is used to grasp web data and/or receives the web data that pushes, and web data is carried out text resolution, obtains document data.
Constructing module 305, specifically be used for to the document data that second acquisition module 304 gets access to classify, subject extraction and speech relationship analysis handle, and the document data after will handling carries out data directory, obtains searching database.
Referring to Fig. 5, first acquisition module 302 specifically comprises:
The first acquiring unit 302a is used to obtain user's log information, and log information comprises the log information and the session log information of webpage click at least;
The 3rd acquiring unit 302c is used for obtaining comprising according to the relation of second acquisition unit 302b statistics and definite retrieval behavioural characteristic the context data of userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and at least a information of retrieval behavioural information.
Alternatively, referring to Fig. 6, first acquisition module 302 specifically comprises:
The 4th acquiring unit 302d is used to obtain user's user profile, and user profile comprises a kind of information in the information, fileinfo, interaction platform information of user's browsing page at least;
The 5th acquiring unit 302e is used for obtaining comprising according to the user profile analysis that the 4th acquiring unit 302d gets access to the context data of userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and at least a information of retrieval behavioural information.
Alternatively, referring to Fig. 7, first acquisition module 302 specifically comprises:
The first acquiring unit 302a is used to obtain user's log information, and log information comprises the log information and the session log information of webpage click at least;
The 4th acquiring unit 302d is used to obtain user's user profile, and user profile comprises a kind of information in the information, fileinfo, interaction platform information of user's browsing page at least;
The 6th acquiring unit 302f is used for the context data that user profile that the relation according to second acquisition unit 302b statistics, definite retrieval behavioural characteristic and the 4th acquiring unit 302d get access to obtains comprising userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and at least a information of retrieval behavioural information.
Wherein, receiver module 301 also is used for the term that receives is carried out word segmentation processing, obtains word segmentation result;
In sum; The device that present embodiment provides through obtaining the context data that is complementary with the user, and is retrieved according to the term and the context data of user's input; Thereby can retrieve according to user's retrieval wish, make the result for retrieval that obtains have more specific aim and accuracy.
Need to prove: the indexing unit that the foregoing description provides is when retrieving; Only the division with above-mentioned each functional module is illustrated; In the practical application; Can as required above-mentioned functions be distributed by the different functional completion, the inner structure that is about to device is divided into different functional, to accomplish all or part of function of above description.In addition, indexing unit that the foregoing description provides and search method embodiment belong to same design, and its concrete implementation procedure sees method embodiment for details, repeats no more here.
The invention described above embodiment sequence number is not represented the quality of embodiment just to description.
All or part of step in the embodiment of the invention can utilize software to realize that corresponding software programs can be stored in the storage medium that can read, like CD or hard disk etc.
The above is merely preferred embodiment of the present invention, and is in order to restriction the present invention, not all within spirit of the present invention and principle, any modification of being done, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a search method is characterized in that, said method comprises:
Receive the term of user's input;
Obtain said user's relevant information, and said relevant information is analyzed, obtain the context data that is complementary with said user;
Retrieve in searching database according to said term and context data.
2. method according to claim 1 is characterized in that, before the term of said reception user input, also comprises:
Obtain document data, and according to said document data structure searching database;
Saidly in searching database, retrieve, specifically comprise according to said term and context data:
Retrieve in the searching database of said structure according to said term and context data.
3. method according to claim 2 is characterized in that, the said document data that obtains specifically comprises:
Grasp web data and/or receive the web data that pushes, and said web data is carried out text resolution, obtain document data;
Said according to said document data structure searching database, specifically comprise:
Said document data to getting access to is classified, subject extraction and speech relationship analysis are handled, and the document data after will handling carries out data directory, obtains searching database.
4. method according to claim 1 is characterized in that, the said relevant information of obtaining said user specifically comprises:
Obtain said user's log information, said log information comprises the log information and the session log information of webpage click at least;
Said said relevant information is analyzed, is obtained the context data that is complementary with said user, specifically comprise:
The term of importing according to the log information statistics of user's of said webpage click and by the relation of webpage clicking, and confirm said user's retrieval behavioural characteristic according to said session log information;
Obtain comprising the context data of at least a information in userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and the retrieval behavioural information according to relation and definite retrieval behavioural characteristic of statistics.
5. method according to claim 1 is characterized in that, the said relevant information of obtaining said user specifically comprises:
Obtain said user's user profile, said user profile comprises a kind of information in the information, fileinfo, interaction platform information of user's browsing page at least;
Said said relevant information is analyzed, is obtained the context data that is complementary with said user, specifically comprise:
Obtain comprising the context data of at least a information in userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and the retrieval behavioural information according to the said user profile analysis that gets access to.
6. method according to claim 1 is characterized in that, the said relevant information of obtaining said user specifically comprises:
Obtain said user's log information and user profile; Said log information comprises the log information and the session log information of webpage click at least, and said user profile comprises a kind of information in the information, fileinfo, interaction platform information of user's browsing page at least;
Said said relevant information is analyzed, is obtained the context data that is complementary with said user, specifically comprise:
The term of importing according to the log information statistics of user's of said webpage click and by the relation of webpage clicking, and confirm said user's retrieval behavioural characteristic according to said session log information;
Obtain comprising the context data of at least a information in userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and the retrieval behavioural information according to the relation of statistics, definite retrieval behavioural characteristic and the said user profile that gets access to.
7. an indexing unit is characterized in that, said device comprises:
Receiver module is used to receive the term that the user imports;
First acquisition module is used to obtain said user's relevant information, and said relevant information is analyzed, and obtains the context data that is complementary with said user;
Retrieval module, the context data that term that is used for receiving according to said receiver module and said first acquisition module get access to is retrieved at searching database.
8. device according to claim 7 is characterized in that, said first acquisition module specifically comprises:
First acquiring unit is used to obtain said user's log information, and said log information comprises the log information and the session log information of webpage click at least;
Second acquisition unit, the term that the log information statistics of user's of the webpage click that is used for getting access to according to said first acquiring unit was imported and by the relation of webpage clicking, and confirm said user's retrieval behavioural characteristic according to said session log information;
The 3rd acquiring unit is used for obtaining comprising according to the relation of said second acquisition unit statistics and definite retrieval behavioural characteristic the context data of userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and at least a information of retrieval behavioural information.
9. device according to claim 7 is characterized in that, said first acquisition module specifically comprises:
The 4th acquiring unit is used to obtain said user's user profile, and said user profile comprises a kind of information in the information, fileinfo, interaction platform information of user's browsing page at least;
The 5th acquiring unit is used for obtaining comprising according to the said user profile analysis that said the 4th acquiring unit gets access to the context data of userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and at least a information of retrieval behavioural information.
10. device according to claim 7 is characterized in that, said first acquisition module specifically comprises:
First acquiring unit is used to obtain said user's log information, and said log information comprises the log information and the session log information of webpage click at least;
Second acquisition unit, the term that the log information statistics of user's of the webpage click that is used for getting access to according to said first acquiring unit was imported and by the relation of webpage clicking, and confirm said user's retrieval behavioural characteristic according to said session log information;
The 4th acquiring unit is used to obtain said user's user profile, and said user profile comprises a kind of information in the information, fileinfo, interaction platform information of user's browsing page at least;
The 6th acquiring unit is used for the context data that said user profile that the relation according to said second acquisition unit statistics, definite retrieval behavioural characteristic and the 4th acquiring unit get access to obtains comprising userspersonal information, retrieval cause information, retrieval time information, retrieve location information, term information, retrieval purpose information and at least a information of retrieval behavioural information.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104699676A (en) * | 2013-12-04 | 2015-06-10 | 中国电信股份有限公司 | Information searching method and system based on voice recognition |
| CN105447113A (en) * | 2015-11-13 | 2016-03-30 | 四川九成信息技术有限公司 | Big data based informatiion analysis method |
| CN105718526A (en) * | 2016-01-15 | 2016-06-29 | 上海律巢网络科技有限公司 | Data search method, device and system based on lawyer information |
| CN107203265A (en) * | 2017-05-17 | 2017-09-26 | 广东美的制冷设备有限公司 | Information interacting method and device |
| CN107818781B (en) * | 2017-09-11 | 2021-08-10 | 远光软件股份有限公司 | Intelligent interaction method, equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1758248A (en) * | 2004-10-05 | 2006-04-12 | 微软公司 | Systems, methods, and interfaces for providing personalized search and information access |
| EP1708105A1 (en) * | 2005-03-31 | 2006-10-04 | Microsoft Corporation | Data mining techniques for improving search relevance |
| CN101105795A (en) * | 2006-10-27 | 2008-01-16 | 北京搜神网络技术有限责任公司 | Network behavior based personalized recommendation method and system |
| CN101373486A (en) * | 2008-10-16 | 2009-02-25 | 北京航空航天大学 | Personalized summary system based on user interest model |
| CN101719145A (en) * | 2009-11-17 | 2010-06-02 | 北京大学 | Individuation searching method based on book domain ontology |
-
2010
- 2010-10-18 CN CN2010105196814A patent/CN102456019A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1758248A (en) * | 2004-10-05 | 2006-04-12 | 微软公司 | Systems, methods, and interfaces for providing personalized search and information access |
| EP1708105A1 (en) * | 2005-03-31 | 2006-10-04 | Microsoft Corporation | Data mining techniques for improving search relevance |
| CN101105795A (en) * | 2006-10-27 | 2008-01-16 | 北京搜神网络技术有限责任公司 | Network behavior based personalized recommendation method and system |
| CN101373486A (en) * | 2008-10-16 | 2009-02-25 | 北京航空航天大学 | Personalized summary system based on user interest model |
| CN101719145A (en) * | 2009-11-17 | 2010-06-02 | 北京大学 | Individuation searching method based on book domain ontology |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104699676A (en) * | 2013-12-04 | 2015-06-10 | 中国电信股份有限公司 | Information searching method and system based on voice recognition |
| CN104699676B (en) * | 2013-12-04 | 2019-03-26 | 中国电信股份有限公司 | Information search method and system based on speech recognition |
| CN105447113A (en) * | 2015-11-13 | 2016-03-30 | 四川九成信息技术有限公司 | Big data based informatiion analysis method |
| CN105447113B (en) * | 2015-11-13 | 2018-09-28 | 深圳市远方创新数据咨询有限公司 | A kind of information analysis method based on big data |
| CN105718526A (en) * | 2016-01-15 | 2016-06-29 | 上海律巢网络科技有限公司 | Data search method, device and system based on lawyer information |
| CN107203265A (en) * | 2017-05-17 | 2017-09-26 | 广东美的制冷设备有限公司 | Information interacting method and device |
| CN107203265B (en) * | 2017-05-17 | 2021-01-22 | 广东美的制冷设备有限公司 | Information interaction method and device |
| CN107818781B (en) * | 2017-09-11 | 2021-08-10 | 远光软件股份有限公司 | Intelligent interaction method, equipment and storage medium |
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