CN102207973B - Fuzzy search system and search method - Google Patents
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Abstract
The invention discloses a fuzzy search system and method. The fuzzy search system comprises a search database, a keyword acquisition module and a search module, wherein the search database is used for storing data information to be searched; the keyword acquisition module is used for acquiring the input keywords; the search module is connected with the search database and the keyword acquisition module and used for searching in the search database according to the keywords acquired by the keyword acquisition module to obtain a search result; the search database comprises a synonym database for mutually mapping a plurality of keywords with close meanings and putting the keywords with close meanings in a group, and a similar threshold value is set between the keywords; and when a keyword in a certain group is searched, each keyword in the group is equivalently searched. According to the fuzzy search system and method, when intelligent learning is performed and one keyword is searched, a group of keywords with similar meanings are equivalently searched, so that the search efficiency and the search quality are improved.
Description
Technical field
The invention belongs to the Internet search technology field, relate to a kind of searching system, relate in particular to a kind of fuzzy retrieval system; Simultaneously, the invention still further relates to a kind of fuzzy retrieval method.
Background technology
Network retrieval is namely retrieved required document by computer internet.Along with the develop rapidly of network, the online retrieval becomes the most efficient the easiest retrieval mode, and the user can be sitting in family and directly open the shared document resource everywhere of computing machine.But because network information is innumerable, how to find quickly and accurately own information needed not a duck soup.
Be the thing that part is wasted time and energy by the network retrieval relevant information, especially in some cases, the user does not know industry or the practice of needs retrieval, and the key word that retrieval is set can not embody the demand of oneself well.
Summary of the invention
Technical matters to be solved by this invention is: a kind of fuzzy retrieval system is provided, and fast searching is to the information that needs.
In addition, the present invention further provides a kind of fuzzy retrieval method, fast searching is to the information that needs.
For solving the problems of the technologies described above, the present invention adopts following technical scheme:
A kind of fuzzy retrieval system, described fuzzy retrieval system comprises:
Searching database has the standby data message of retrieving;
The key word acquisition module is in order to obtain the key word of input;
Retrieval module is connected with described searching database, key word acquisition module, retrieves in described searching database in order to the keyword that obtains according to described key word acquisition module, obtains result for retrieval; Comprise the near synonym database in the described searching database, mutually shine upon in order to the some key words with similar import, be placed in the group, a similar threshold value set each other in key word; When a key word in a certain group was retrieved, each key word that is equivalent in this group all was retrieved; Comprise the result for retrieval that obtains by this key search in the result for retrieval, and the result for retrieval that obtains by other key searches in this group; Putting in order of result for retrieval determined in conjunction with each key word and the similar threshold value of the key word that is retrieved;
The user behavior tracking module in order to following the tracks of user's retrieval behavior, is followed the tracks of the key word of user's one or many input, and obtains the behavior of user after each retrieval; User's behavior comprises after the described retrieval: use immediately other key words to retrieve, some or a plurality of links of perhaps clicking in the result for retrieval are checked; When the user uses other key words to retrieve, other key words that use when obtaining the user and retrieving, and obtain the behavior of using user after other key searches; When the user clicked link in the result for retrieval and checks, recording user was checked the time of respective links, and namely the user will link the time that the page is presented at display screen;
The intelligence learning module is connected with described user behavior tracking module, in order to obtaining the information recording/of user's retrieving from the user behavior tracking module, and sets the key word that is associated according to retrieving; For the repeatedly retrieval that same user carries out within setting-up time, at first determine the satisfactory result page that its retrieval obtains, the method for determining is: this user checks that the link page time span in the result for retrieval reaches one or more pages of setting value; Perhaps, determine that method is: allow this page of user selection whether be the page of oneself wanting; Then, determine the key word that the satisfactory result page presets, all preset key word for each page; The key word that the one or more key words that use during with user search and the satisfactory result page preset carries out association process, namely sets key word and this key word that presets that user search uses and is synonym.
A kind of fuzzy retrieval system, described fuzzy retrieval system comprises:
Searching database has the standby data message of retrieving;
The key word acquisition module is in order to obtain the key word of input;
Retrieval module is connected with described searching database, key word acquisition module, retrieves in described searching database in order to the keyword that obtains according to described key word acquisition module, obtains result for retrieval;
Comprise the near synonym database in the described searching database, mutually shine upon in order to the some key words with similar import, be placed in the group, a similar threshold value set each other in key word;
When a key word in a certain group was retrieved, each key word that is equivalent in this group all was retrieved; Comprise the result for retrieval that obtains by this key search in the result for retrieval, and the result for retrieval that obtains by other key searches in this group.
As a preferred embodiment of the present invention, described fuzzy retrieval system further comprises the user behavior tracking module, in order to following the tracks of user's retrieval behavior, follows the tracks of the key word of user's one or many input, and obtains the behavior of user after each retrieval;
User's behavior comprises after the described retrieval: use immediately other key words to retrieve, some or a plurality of links of perhaps clicking in the result for retrieval are checked;
When the user uses other key words to retrieve, other key words that use when obtaining the user and retrieving, and obtain the behavior of using user after other key searches;
When the user clicked link in the result for retrieval and checks, recording user was checked the time of respective links, and namely the user will link the time that the page is presented at display screen.
As a preferred embodiment of the present invention, described fuzzy retrieval system further comprises the intelligence learning module, be connected with described user behavior tracking module, in order to from the user behavior tracking module, obtaining the information recording/of user's retrieving, and set the key word that is associated according to retrieving;
For the repeatedly retrieval that same user carries out within setting-up time, at first determine the satisfactory result page that its retrieval obtains, the method for determining is: this user checks that the link page time span in the result for retrieval reaches one or more pages of setting value; Perhaps, determine that method is: allow this page of user selection whether be the page of oneself wanting;
Then, determine the key word that the satisfactory result page presets, all preset key word for each page;
The key word that the one or more key words that use during with user search and the satisfactory result page preset carries out association process, namely sets key word and this key word that presets that user search uses and is synonym.
A kind of fuzzy retrieval method of above-mentioned fuzzy retrieval system, described fuzzy retrieval method comprises the steps:
S1, user retrieve by the key word that input is set, and the key word acquisition module obtains the key word of input;
S2, retrieval module are retrieved in described searching database according to the keyword that described key word acquisition module obtains, and obtain result for retrieval; Comprise the near synonym database in the described searching database, mutually shine upon in order to the some key words with similar import, be placed in the group, a similar threshold value set each other in key word; When a key word in a certain group was retrieved, each key word that is equivalent in this group all was retrieved; Comprise the result for retrieval that obtains by this key search in the result for retrieval, and the result for retrieval that obtains by other key searches in this group; Putting in order of result for retrieval determined in conjunction with each key word and the similar threshold value of the key word that is retrieved;
S3, user behavior tracking module follow the tracks of user's retrieval behavior, follow the tracks of the key word of user's one or many input, and obtain the behavior of user after each retrieval; User's behavior comprises after the described retrieval: use immediately other key words to retrieve, some or a plurality of links of perhaps clicking in the result for retrieval are checked; When the user uses other key words to retrieve, other key words that use when obtaining the user and retrieving, and obtain the behavior of using user after other key searches; When the user clicked link in the result for retrieval and checks, recording user was checked the time of respective links, and namely the user will link the time that the page is presented at display screen;
S4, intelligence learning module are obtained the information recording/of user's retrieving from the user behavior tracking module, and set the key word that is associated according to retrieving; For the repeatedly retrieval that same user carries out within setting-up time, at first determine the satisfactory result page that its retrieval obtains, the method for determining is: this user checks that the link page time span in the result for retrieval reaches one or more pages of setting value; Perhaps, determine that method is: allow this page of user selection whether be the page of oneself wanting; Then, determine the key word that the satisfactory result page presets, all preset key word for each page; The key word that the one or more key words that use during with user search and the satisfactory result page preset carries out association process, namely sets key word and this key word that presets that user search uses and is synonym.
A kind of fuzzy retrieval method of above-mentioned fuzzy retrieval system, described fuzzy retrieval method comprises the steps:
S1, user retrieve by the key word that input is set, and the key word acquisition module obtains the key word of input;
S2, retrieval module are retrieved in described searching database according to the keyword that described key word acquisition module obtains, and obtain result for retrieval; Comprise the near synonym database in the described searching database, mutually shine upon in order to the some key words with similar import, be placed in the group, a similar threshold value set each other in key word; When a key word in a certain group was retrieved, each key word that is equivalent in this group all was retrieved; Comprise the result for retrieval that obtains by this key search in the result for retrieval, and the result for retrieval that obtains by other key searches in this group.
As a preferred embodiment of the present invention, described method comprises step S3: the user behavior tracking module is followed the tracks of user's retrieval behavior, follows the tracks of the key word of user's one or many input, and obtains the behavior of user after each retrieval;
User's behavior comprises after the described retrieval: use immediately other key words to retrieve, some or a plurality of links of perhaps clicking in the result for retrieval are checked;
When the user uses other key words to retrieve, other key words that use when obtaining the user and retrieving, and obtain the behavior of using user after other key searches;
When the user clicked link in the result for retrieval and checks, recording user was checked the time of respective links, and namely the user will link the time that the page is presented at display screen.
As a preferred embodiment of the present invention, described method comprises step S4: the intelligence learning module is obtained the information recording/of user's retrieving from the user behavior tracking module, and sets the key word that is associated according to retrieving;
For the repeatedly retrieval that same user carries out within setting-up time, at first determine the satisfactory result page that its retrieval obtains, the method for determining is: this user checks that the link page time span in the result for retrieval reaches one or more pages of setting value; Perhaps, determine that method is: allow this page of user selection whether be the page of oneself wanting;
Then, determine the key word that the satisfactory result page presets, all preset key word for each page;
The key word that the one or more key words that use during with user search and the satisfactory result page preset carries out association process, namely sets key word and this key word that presets that user search uses and is synonym.
Beneficial effect of the present invention is: fuzzy retrieval system and method that the present invention proposes, by intelligence learning, by a key search, be equivalent to retrieve by one group of close key word of implication, and improve recall precision and retrieval quality.
Description of drawings
Fig. 1 is the composition schematic diagram of fuzzy retrieval system of the present invention.
Fig. 2 is the process flow diagram of fuzzy retrieval method of the present invention.
Embodiment
Describe the preferred embodiments of the present invention in detail below in conjunction with accompanying drawing.
Embodiment one
See also Fig. 1, the present invention has disclosed a kind of fuzzy retrieval system, and described fuzzy retrieval system comprises: searching database 10, key word acquisition module 20, retrieval module 30, user behavior tracking module 40, intelligence learning module 50.
Searching database 10 has the data message of standby retrieval.
Key word acquisition module 20 is in order to obtain the key word of input.
Retrieval module 30 is connected with described searching database 10, key word acquisition module 20, retrieves in described searching database in order to the keyword that obtains according to described key word acquisition module, obtains result for retrieval; Comprise the near synonym database in the described searching database, mutually shine upon in order to the some key words with similar import, be placed in the group, a similar threshold value set each other in key word; When a key word in a certain group was retrieved, each key word that is equivalent in this group all was retrieved; Comprise the result for retrieval that obtains by this key search in the result for retrieval, and the result for retrieval that obtains by other key searches in this group; Putting in order of result for retrieval determined in conjunction with each key word and the similar threshold value of the key word that is retrieved.
User behavior tracking module 40 is followed the tracks of the key word of user's one or many input in order to following the tracks of user's retrieval behavior, and obtains the behavior of user after each retrieval.User's behavior comprises after the described retrieval: use immediately other key words to retrieve (at this moment, preferred scheme is, the difference retrieval that allows user selection carry out continuously, searched targets is same i.e. whether same group of retrieval whether), some or a plurality of links of perhaps clicking in the result for retrieval are checked; When the user uses other key words to retrieve, other key words that use when obtaining the user and retrieving, and obtain the behavior of using user after other key searches; When the user clicked link in the result for retrieval and checks, recording user was checked the time of respective links, and namely the user will link the time that the page is presented at display screen.In addition, judge whether be same group of retrieval method can also for: judge the similar value of the key word of the difference retrieval carry out continuously, think same group of retrieval when similar value reaches setting threshold.
Intelligence learning module 50 is connected with described user behavior tracking module 40, in order to obtaining the information recording/of user's retrieving from the user behavior tracking module, and sets the key word that is associated according to retrieving.For the repeatedly retrieval that same user carries out within setting-up time, at first determine the satisfactory result page that its retrieval obtains, the method for determining is: this user checks that the link page time span in the result for retrieval reaches one or more pages of setting value; Perhaps, determine that method is: allow this page of user selection whether be the page of oneself wanting; Then, determine the key word that the satisfactory result page presets, all preset key word for each page; The key word that the one or more key words that use during with user search and the satisfactory result page preset carries out association process, namely sets key word and this key word that presets that user search uses and is synonym.That is to say, intelligence learning module 50 is with the keyword of the frequent usefulness of user and search out the page residence time of browsing behind the result and do calculating, draws the result for retrieval that meets user's custom most.
More than introduced the composition of fuzzy retrieval system of the present invention, the present invention also discloses the fuzzy retrieval method of above-mentioned fuzzy retrieval system when disclosing above-mentioned fuzzy retrieval system.See also Fig. 2, described fuzzy retrieval method comprises the steps:
[step S1] user retrieves by the key word that input is set, and the key word acquisition module obtains the key word of input.
[step S2] retrieval module is retrieved in described searching database according to the keyword that described key word acquisition module obtains, and obtains result for retrieval.
Comprise the near synonym database in the described searching database, mutually shine upon in order to the some key words with similar import, be placed in the group, a similar threshold value set each other in key word; When a key word in a certain group was retrieved, each key word that is equivalent in this group all was retrieved; Comprise the result for retrieval that obtains by this key search in the result for retrieval, and the result for retrieval that obtains by other key searches in this group; Putting in order of result for retrieval determined in conjunction with each key word and the similar threshold value of the key word that is retrieved.
[step S3] user behavior tracking module is followed the tracks of user's retrieval behavior, follows the tracks of the key word of user's one or many input, and obtains the behavior of user after each retrieval.
User's behavior comprises after the described retrieval: use immediately other key words to retrieve, some or a plurality of links of perhaps clicking in the result for retrieval are checked.
When the user uses other key words to retrieve, other key words that use when obtaining the user and retrieving, and obtain the behavior of using user after other key searches; When the user clicked link in the result for retrieval and checks, recording user was checked the time of respective links, and namely the user will link the time that the page is presented at display screen.
[step S4] intelligence learning module is obtained the information recording/of user's retrieving from the user behavior tracking module, and sets the key word that is associated according to retrieving.
For the repeatedly retrieval that same user carries out within setting-up time, at first determine the satisfactory result page that its retrieval obtains, the method for determining is: this user checks that the link page time span in the result for retrieval reaches one or more pages of setting value; Perhaps, determine that method is: allow this page of user selection whether be the page of oneself wanting; Then, determine the key word that the satisfactory result page presets, all preset key word for each page; The key word that the one or more key words that use during with user search and the satisfactory result page preset carries out association process, namely sets key word and this key word that presets that user search uses and is synonym.
For example, certain resident wants to understand the information of having two babies by the Electronic Government Affairs Website in certain city, and the search key of its setting is: " Shanghai two tires "; Do not find suitable result for retrieval, reset keyword: " can have two babies in Shanghai "; Find the results page (key word of results page is " Shanghai have two babies policy ") of expectation, open and consult.
The search operaqtion flow process of user behavior tracking module recording user, the intelligence learning module is used the user in retrieving key word " Shanghai two tires ", " can have two babies in Shanghai " and results page preset key word " Shanghai have two babies policy " and carry out relevance and set, namely set " Shanghai two tires ", " can have two babies in Shanghai " (key word that user search uses) and " Shanghai have two babies policy " (key word that results page presets) is synonym, and deposits in the database.
Later on when other users' uses " Shanghai two tires ", " can have two babies in Shanghai " being arranged when retrieving, can find the related content in " Shanghai have two babies policy ", can greatly improve recall precision.
Embodiment two
The difference of the present embodiment and embodiment one is, the present embodiment does not comprise user behavior tracking module, the intelligence learning module among the embodiment one.
In the present embodiment, described fuzzy retrieval system comprises: searching database, key word acquisition module, retrieval module.
Searching database has the standby data message of retrieving;
The key word acquisition module is in order to obtain the key word of input;
Retrieval module is connected with described searching database, key word acquisition module, retrieves in described searching database in order to the keyword that obtains according to described key word acquisition module, obtains result for retrieval;
Comprise the near synonym database in the described searching database, mutually shine upon in order to the some key words with similar import, be placed in the group, a similar threshold value set each other in key word;
When a key word in a certain group was retrieved, each key word that is equivalent in this group all was retrieved; Comprise the result for retrieval that obtains by this key search in the result for retrieval, and the result for retrieval that obtains by other key searches in this group.
More than introduced the composition of fuzzy retrieval system of the present invention, the present invention also discloses the fuzzy retrieval method of above-mentioned fuzzy retrieval system when disclosing above-mentioned fuzzy retrieval system.Described fuzzy retrieval method comprises the steps:
[step S1] user retrieves by the key word that input is set, and the key word acquisition module obtains the key word of input;
[step S2] retrieval module is retrieved in described searching database according to the keyword that described key word acquisition module obtains, and obtains result for retrieval.
Comprise the near synonym database in the described searching database, mutually shine upon in order to the some key words with similar import, be placed in the group, a similar threshold value set each other in key word; When a key word in a certain group was retrieved, each key word that is equivalent in this group all was retrieved; Comprise the result for retrieval that obtains by this key search in the result for retrieval, and the result for retrieval that obtains by other key searches in this group.
In sum, fuzzy retrieval system and method that the present invention proposes by intelligence learning, by a key search, are equivalent to retrieve by one group of close key word of implication, improve recall precision and retrieval quality.
Here description of the invention and application is illustrative, is not to want with scope restriction of the present invention in the above-described embodiments.Here the distortion of disclosed embodiment and change is possible, and the various parts of the replacement of embodiment and equivalence are known for those those of ordinary skill in the art.Those skilled in the art are noted that in the situation that do not break away from spirit of the present invention or essential characteristic, and the present invention can be with other form, structure, layout, ratio, and realize with other assembly, material and parts.In the situation that do not break away from the scope of the invention and spirit, can carry out other distortion and change to disclosed embodiment here.
Claims (4)
1. a fuzzy retrieval system is characterized in that, described fuzzy retrieval system comprises:
The key word acquisition module is in order to obtain the key word of input;
Retrieval module is connected with a searching database, key word acquisition module, retrieves in described searching database in order to the keyword that obtains according to described key word acquisition module, obtains result for retrieval; Described searching database has the data message of standby retrieval; Comprise the near synonym database in the described searching database, mutually shine upon in order to the some key words with similar import, be placed in the group, a similar threshold value set each other in key word; When a key word in a certain group was retrieved, each key word that is equivalent in this group all was retrieved; Comprise the result for retrieval that obtains by this key search in the result for retrieval, and the result for retrieval that obtains by other key searches in this group; Putting in order of result for retrieval determined in conjunction with each key word and the similar threshold value of the key word that is retrieved;
The user behavior tracking module in order to following the tracks of user's retrieval behavior, is followed the tracks of the key word of user's one or many input, and obtains the behavior of user after each retrieval; User's behavior comprises after the described retrieval: use immediately other key words to retrieve, some or a plurality of links of perhaps clicking in the result for retrieval are checked; When the user uses other key words to retrieve, other key words that use when obtaining the user and retrieving, and obtain the behavior of using user after other key searches; When the user clicked link in the result for retrieval and checks, recording user was checked the time of respective links, and namely the user will link the time that the page is presented at display screen;
The intelligence learning module is connected with described user behavior tracking module, in order to obtaining the information recording/of user's retrieving from the user behavior tracking module, and sets the key word that is associated according to retrieving; For the repeatedly retrieval that same user carries out within setting-up time, at first determine the satisfactory result page that its retrieval obtains, the method for determining is: this user checks that the link page time span in the result for retrieval reaches one or more pages of setting value; Perhaps, determine that method is: allow this page of user selection whether be the page of oneself wanting; Then, determine the key word that the satisfactory result page presets, all preset key word for each page; The key word that the one or more key words that use during with user search and the satisfactory result page preset carries out association process, namely sets key word and this key word that presets that user search uses and is synonym.
2. the fuzzy retrieval method of the described fuzzy retrieval system of claim 1 is characterized in that, described fuzzy retrieval method comprises the steps:
S1, user retrieve by the key word that input is set, and the key word acquisition module obtains the key word of input;
S2, retrieval module are retrieved in described searching database according to the keyword that described key word acquisition module obtains, and obtain result for retrieval; Comprise the near synonym database in the described searching database, mutually shine upon in order to the some key words with similar import, be placed in the group, a similar threshold value set each other in key word; When a key word in a certain group was retrieved, each key word that is equivalent in this group all was retrieved; Comprise the result for retrieval that obtains by this key search in the result for retrieval, and the result for retrieval that obtains by other key searches in this group; Putting in order of result for retrieval determined in conjunction with each key word and the similar threshold value of the key word that is retrieved;
S3, user behavior tracking module follow the tracks of user's retrieval behavior, follow the tracks of the key word of user's one or many input, and obtain the behavior of user after each retrieval; User's behavior comprises after the described retrieval: use immediately other key words to retrieve, some or a plurality of links of perhaps clicking in the result for retrieval are checked; When the user uses other key words to retrieve, other key words that use when obtaining the user and retrieving, and obtain the behavior of using user after other key searches; When the user clicked link in the result for retrieval and checks, recording user was checked the time of respective links, and namely the user will link the time that the page is presented at display screen;
S4, intelligence learning module are obtained the information recording/of user's retrieving from the user behavior tracking module, and set the key word that is associated according to retrieving; For the repeatedly retrieval that same user carries out within setting-up time, at first determine the satisfactory result page that its retrieval obtains, the method for determining is: this user checks that the link page time span in the result for retrieval reaches one or more pages of setting value; Perhaps, determine that method is: allow this page of user selection whether be the page of oneself wanting; Then, determine the key word that the satisfactory result page presets, all preset key word for each page; The key word that the one or more key words that use during with user search and the satisfactory result page preset carries out association process, namely sets key word and this key word that presets that user search uses and is synonym.
3. a fuzzy retrieval system is characterized in that, described fuzzy retrieval system comprises:
The key word acquisition module is in order to obtain the key word of input;
Retrieval module is connected with a searching database, key word acquisition module, retrieves in described searching database in order to the keyword that obtains according to described key word acquisition module, obtains result for retrieval; Described searching database has the data message of standby retrieval; Comprise the near synonym database in the described searching database, mutually shine upon in order to the some key words with similar import, be placed in the group; When a key word in a certain group was retrieved, each key word that is equivalent in this group all was retrieved; Comprise the result for retrieval that obtains by this key search in the result for retrieval, and the result for retrieval that obtains by other key searches in this group;
The user behavior tracking module in order to following the tracks of user's retrieval behavior, is followed the tracks of the key word of user's one or many input, and obtains the behavior of user after each retrieval; User's behavior comprises after the described retrieval: use immediately other key words to retrieve, some or a plurality of links of perhaps clicking in the result for retrieval are checked; When the user uses other key words to retrieve, other key words that use when obtaining the user and retrieving, and obtain the behavior of using user after other key searches; When the user clicked link in the result for retrieval and checks, recording user was checked the time of respective links, and namely the user will link the time that the page is presented at display screen;
The intelligence learning module is connected with described user behavior tracking module, in order to obtaining the information recording/of user's retrieving from the user behavior tracking module, and sets the key word that is associated according to retrieving; For the repeatedly retrieval that same user carries out within setting-up time, at first determine the satisfactory result page that its retrieval obtains, the method for determining is: this user checks that the link page time span in the result for retrieval reaches one or more pages of setting value; Perhaps, determine that method is: allow this page of user selection whether be the page of oneself wanting; Then, determine the key word that the satisfactory result page presets, all preset key word for each page; The key word that the one or more key words that use during with user search and the satisfactory result page preset carries out association process, namely sets key word and this key word that presets that user search uses and is synonym.
4. the fuzzy retrieval method of the described fuzzy retrieval system of claim 3 is characterized in that, described fuzzy retrieval method comprises the steps:
S1, user retrieve by the key word that input is set, and the key word acquisition module obtains the key word of input;
S2, retrieval module are retrieved in described searching database according to the keyword that described key word acquisition module obtains, and obtain result for retrieval; Comprise the near synonym database in the described searching database, mutually shine upon in order to the some key words with similar import, be placed in the group; When a key word in a certain group was retrieved, each key word that is equivalent in this group all was retrieved; Comprise the result for retrieval that obtains by this key search in the result for retrieval, and the result for retrieval that obtains by other key searches in this group;
S3, user behavior tracking module follow the tracks of user's retrieval behavior, follow the tracks of the key word of user's one or many input, and obtain the behavior of user after each retrieval; User's behavior comprises after the described retrieval: use immediately other key words to retrieve, some or a plurality of links of perhaps clicking in the result for retrieval are checked; When the user uses other key words to retrieve, other key words that use when obtaining the user and retrieving, and obtain the behavior of using user after other key searches; When the user clicked link in the result for retrieval and checks, recording user was checked the time of respective links, and namely the user will link the time that the page is presented at display screen;
S4, intelligence learning module are obtained the information recording/of user's retrieving from the user behavior tracking module, and set the key word that is associated according to retrieving; For the repeatedly retrieval that same user carries out within setting-up time, at first determine the satisfactory result page that its retrieval obtains, the method for determining is: this user checks that the link page time span in the result for retrieval reaches one or more pages of setting value; Perhaps, determine that method is: allow this page of user selection whether be the page of oneself wanting; Then, determine the key word that the satisfactory result page presets, all preset key word for each page; The key word that the one or more key words that use during with user search and the satisfactory result page preset carries out association process, namely sets key word and this key word that presets that user search uses and is synonym.
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Families Citing this family (10)
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| CN102955848B (en) * | 2012-10-29 | 2015-11-18 | 北京工商大学 | A kind of three-dimensional model searching system based on semanteme and method |
| CN102982072B (en) * | 2012-10-29 | 2016-05-04 | 北京工商大学 | A kind of method of visual concept detection device and constructing semantic field |
| CN103838735A (en) * | 2012-11-21 | 2014-06-04 | 大连灵动科技发展有限公司 | Data retrieval method for improving retrieval efficiency and quality |
| CN107066497A (en) * | 2016-12-29 | 2017-08-18 | 努比亚技术有限公司 | A kind of searching method and device |
| CN107066882B (en) * | 2017-03-17 | 2019-07-12 | 平安科技（深圳）有限公司 | Information leakage detection method and device |
| CN107092665A (en) * | 2017-03-31 | 2017-08-25 | 合肥民众亿兴软件开发有限公司 | A kind of data retrieval system and search method |
| CN107221328B (en) * | 2017-05-25 | 2021-02-19 | 百度在线网络技术（北京）有限公司 | Method and device for positioning modification source, computer equipment and readable medium |
| CN110928915A (en) * | 2018-08-31 | 2020-03-27 | 北京京东金融科技控股有限公司 | Method, device and equipment for fuzzy matching of Chinese names and readable storage medium |
| CN112487313A (en) * | 2020-11-30 | 2021-03-12 | 北京百度网讯科技有限公司 | Interest point identification method and device, electronic equipment and storage medium |
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| CN100595763C (en) * | 2008-02-26 | 2010-03-24 | 华中科技大学 | Full text retrieval system based on natural language |
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| CN101770483A (en) * | 2008-12-29 | 2010-07-07 | 华为技术有限公司 | Self-adaption search method, device and system |
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