CN107092682A - A kind of free database index method of user with data acquisition - Google Patents
A kind of free database index method of user with data acquisition Download PDFInfo
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- CN107092682A CN107092682A CN201710266172.7A CN201710266172A CN107092682A CN 107092682 A CN107092682 A CN 107092682A CN 201710266172 A CN201710266172 A CN 201710266172A CN 107092682 A CN107092682 A CN 107092682A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/3332—Query translation
- G06F16/3338—Query expansion
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3322—Query formulation using system suggestions
- G06F16/3323—Query formulation using system suggestions using document space presentation or visualization, e.g. category, hierarchy or range presentation and selection
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- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
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Abstract
The invention provides a kind of free database index method of the user with data acquisition, including keyword classification module, near synonym module, keyword order module and database；The keyword classification module is provided with data retrieval frame and keyword frame, and client is inputted the data message progress keyword resolution classification in data retrieval frame, is then output to keyword frame by keyword classification module；The near synonym module is provided near synonym frame, the keyword of keyword inframe is carried out near synonym parsing by near synonym module, the keyword order module is provided with data recombination frame, data acquisition module and the webserver, the webserver is handled the data of data acquisition module, and the custom of client is recorded；The database is provided with output end；Feedback of the information of the output end for client is needed can also equally give lead referral targetedly advertisement to client.
Description
Technical field
The present invention relates to a kind of data analysis system, the specifically a kind of free database retrieval of user with data acquisition
Method.
Background technology
The most common technology of information retrieval is search engine, and Internet user is generally grabbed by search engine from internet
Webpage is taken, index data base, then the searching order from index data base is set up.User assign a set of keyword as an inquiry bar
Part, search engine returns to a related kind of document list as a result, search engine search is actually to arrange in advance
Good related web page index data base, it collects webpages hundreds of millions of on internet, and each keyword of webpage is carried out
Index, it is established that web page index database.After being ranked up by complicated algorithm, all related web pages are directed to the key
The relatedness computation of word is good, these Query Results is arranged in order according to the degree of correlation height with search keyword, sequence is more leaned on
The preceding degree of correlation is higher.After user inputs keyword search, found by search system program from web page index database
All related web pages of keyword are contained in web page contents, generating system by the page makes a summary content of pages and search result
The Content Organizings such as chained address get up to return to user.
All only one of which input frame when client inputs to information, but be not that each client needs to oneself
The information to be searched for all understands completely, it may be possible to only know a fuzzy concept, it is impossible to accurately impart one's ideas；Example
Such as client is when searching for the proximate nutrition of some close knowledge points, and common search is that these are all set out to supply client to select
Select, if client is to compare the difference of two close knowledge points, then it is different two words to need the emphasis searched for,
If client is intended to understand some in two close knowledge points, then emphasis is some knowledge point；But showing in the search
So accurately search is unable to reach, a fuzzy search and then client can only be allowed to be looked in numerous selections；And
Advertising now related to search engine is also to be publicized by the search information fuzzy of client.
The content of the invention
It is an object of the invention to provide a kind of free database index method of the user with data acquisition, with solution
State the problem of being proposed in background technology.
In order to solve the above technical problems, the invention provides following technical scheme：
A kind of free database index method of user with data acquisition, including keyword classification module, near synonym mould
Block, keyword order module and database；The keyword classification module is provided with data retrieval frame and keyword frame, keyword
Sort module inputs client the data message progress keyword resolution classification in data retrieval frame, is then output to keyword
Frame；The data retrieval frame allows client to say that data message is inputted；The near synonym module is provided near synonym frame, near synonym module
The keyword of keyword inframe is subjected near synonym parsing, close words is set out, for customer selecting, client will can most accord with
The words for closing oneself expression chooses, to reach more accurate description；The tick boxes are arranged on keyword frame and nearly justice
The top of word frame, client can choose to tick boxes；The keyword order module is provided with data recombination frame, data and adopted
Collect module and the webserver, keyword order module is chosen realization and sentenced by client to keyword frame or the progress of near synonym frame
Disconnected, in custom search, it is most important keyword that client wants to know about to have one inside the information of input, now, client
Only need to make a choice to the tick boxes on keyword frame or near synonym frame；The data acquisition module is to keyword sequence mould
The data of block and data frame retrieval are acquired, when being gathered to keyword order module, are that the information chosen to client is carried out
Pay close attention to, with deeper into the optimization for the information of coordination being carried out a deep step, draw the hobby distribution of client, work as client
When directly being retrieved, data acquisition module is just acquired to the data in data frame retrieval；The webserver logarithm
Handled according to the data of acquisition module, the custom of client is recorded, can be when search same problem next time efficiently
Feedback, moreover it is possible to the demand of client can be more directed to when advertising；The database is provided with output end, and database is used for meeting visitor
The search need at family；Feedback of the information of the output end for client is needed can also be equally directed to client to lead referral
The advertisement of property.
It is used as the further scheme of invention：The keyword frame shows the keyword of customer input information, and keyword frame has
It is multiple and for coordination, there are the tick boxes chosen for client's mouse above keyword frame.
It is used as the further scheme of invention：The near synonym frame shows the near synonym of keyword, and near synonym frame is provided with many
It is individual and for coordination, it is provided with the tick boxes chosen for client's mouse above near synonym frame.
It is used as invention further scheme：The data recombination frame is used near synonym or the pass for reselecting client
Keyword is recombinated, so that the expression of client is more accurate.
Compared with prior art, the beneficial effects of the invention are as follows：
The present invention is paid close attention to the information that client chooses, and fuzzy concept can be allowed accurately to be selected, drawn
More accurately information result, with deeper into the information coordination carry out the optimization of a deep step, draw the hobby point of client
Cloth, when client is directly retrieved, data acquisition module is just acquired to the data in data frame retrieval；By the habit of client
Used record, can efficiently feed back, moreover it is possible to the need of client can be more directed to when advertising when search same problem next time
Ask.
Brief description of the drawings
Fig. 1 is the structural representation of the free database index method of user with data acquisition；
Embodiment
The technical scheme of this patent is described in more detail with reference to embodiment.
Referring to Fig. 1, a kind of free database index method of the user with data acquisition is present embodiments provided, including
Keyword classification module, near synonym module, keyword order module and database；The keyword classification module is provided with data
Frame retrieval and keyword frame, keyword classification module input client the data message progress keyword resolution in data retrieval frame
Classification, is then output to keyword frame；The data retrieval frame allows client to input data message；The keyword frame display visitor
Family inputs the keyword of information, and keyword frame has multiple and is to have to choose for client's mouse above coordination, keyword frame
Tick boxes；The near synonym module is provided near synonym frame, and the keyword of keyword inframe is carried out nearly justice by near synonym module
Word is parsed, and close words is set out, for customer selecting, and client can choose the words for best suiting oneself expression, with
Reach more accurate description；The near synonym frame shows the near synonym of keyword, and near synonym frame is provided with multiple and is arranged side by side
The tick boxes chosen for client's mouse are provided with above relation, near synonym frame；The tick boxes are arranged on keyword frame and near
The top of adopted word frame, client can choose to tick boxes；The keyword order module is provided with data recombination frame, data
Acquisition module and the webserver, keyword order module carry out choosing realization by client to keyword frame or near synonym frame
Judge, in custom search, it is most important keyword that client wants to know about to have one inside the information of input, now, visitor
Family only needs to make a choice to the tick boxes on keyword frame or near synonym frame；The data recombination frame is used for client again
The near synonym or keyword of selection are recombinated, so that the expression of client is more accurate；The data acquisition module is to closing
Keyword order module and the data of data frame retrieval are acquired, and are that client is chosen when being gathered to keyword order module
Information paid close attention to, with deeper into the optimization for the information of coordination being carried out a deep step, draw the hobby of client
Distribution, when client is directly retrieved, data acquisition module is just acquired to the data in data frame retrieval；The network
Server is handled the data of data acquisition module, and the custom of client is recorded, can be in search next time same problem
When efficiently feed back, moreover it is possible to advertise when more can be directed to client demand；The database is provided with output end, database
For meeting the search need of client；The output end is used for the feedback of the information for needing client to client, equally can also be to visitor
Recommend targetedly advertisement in family.
The operation principle of the present invention：
Client inputs information from data retrieval frame, and the information that client can be directly to data frame retrieval is retrieved, simultaneously number
According to acquisition module to the information gathering in data frame retrieval；Keyword classification module is output to input information progress parsing simultaneously
Keyword frame, then near synonym module the keyword of keyword inframe is parsed, be output near synonym frame, client to hook
When selecting the frame to be chosen, keyword order module is handled to choosing information and recorded data acquisition module, is then uploaded
To the webserver, more targeted advertising can be carried out to client after data acquisition, data recombination inframe is into excessively near
Adopted selected ci poem selects the shuffling information after being chosen with emphasis, is then more accurately searched in database again, is output to output
End is used for client.
The better embodiment to this patent is explained in detail above, but this patent is not limited to above-mentioned embodiment party
, can also be on the premise of this patent objective not be departed from formula, the knowledge that one skilled in the relevant art possesses
Make a variety of changes.
Claims (4)
1. a kind of free database index method of user with data acquisition, including keyword classification module, near synonym module,
Keyword order module and database；Characterized in that, the keyword classification module is provided with data retrieval frame and keyword
Frame, keyword classification module inputs client the data message progress keyword resolution classification in data retrieval frame, then exports
To keyword frame；The data retrieval frame allows client to say that data message is inputted；The near synonym module is provided near synonym frame, closely
The keyword of keyword inframe is carried out near synonym parsing by adopted word module, close words is set out, for customer selecting, Ke Huneng
It is enough to choose the words for best suiting oneself expression, to reach more accurate description；The tick boxes are arranged on keyword
The top of frame and near synonym frame, client can choose to tick boxes；The keyword order module is provided with data recombination
Frame, data acquisition module and the webserver, keyword order module are carried out by client to keyword frame or near synonym frame
Choose realization to judge, in custom search, it is most important keyword that client wants to know about to have one inside the information of input,
Now, client only needs to make a choice to the tick boxes on keyword frame or near synonym frame；The data acquisition module is to closing
Keyword order module and the data of data frame retrieval are acquired, and are that client is chosen when being gathered to keyword order module
Information paid close attention to, with deeper into the optimization for the information of coordination being carried out a deep step, draw the hobby of client
Distribution, when client is directly retrieved, data acquisition module is just acquired to the data in data frame retrieval；The network
Server is handled the data of data acquisition module, and the custom of client is recorded, can be in search next time same problem
When efficiently feed back, moreover it is possible to advertise when more can be directed to client demand；The database is provided with output end, database
For meeting the search need of client；The output end is used for the feedback of the information for needing client to client, equally can also be to visitor
Recommend targetedly advertisement in family.
2. the free database index method of the user according to claim 1 with data acquisition, it is characterised in that described
Keyword frame shows the keyword of customer input information, and keyword frame has multiple and is to have confession above coordination, keyword frame
The tick boxes that client is chosen with mouse.
3. the free database index method of the user according to claim 1 with data acquisition, it is characterised in that described
Near synonym frame shows the near synonym of keyword, and near synonym frame is provided with multiple and is to be provided with above coordination, near synonym frame
The tick boxes chosen for client's mouse.
4. the free database index method of the user according to claim 1 with data acquisition, it is characterised in that described
The near synonym or keyword that data recombination frame is used for reselecting client are recombinated, so that the expression of client is more accurate
Really.
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| CN201710266172.7A CN107092682A (en) | 2017-04-21 | 2017-04-21 | A kind of free database index method of user with data acquisition |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111078988A (en) * | 2019-12-23 | 2020-04-28 | 创意信息技术股份有限公司 | Electric power service information hotspot retrieval method and device and electronic equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101246492A (en) * | 2008-02-26 | 2008-08-20 | 华中科技大学 | Full text retrieval system based on natural language |
| CN102110126A (en) * | 2009-12-29 | 2011-06-29 | 潘晓梅 | Information retrieval method and device |
| CN102375885A (en) * | 2011-10-21 | 2012-03-14 | 北京百度网讯科技有限公司 | Method and device for providing search suggestions corresponding to query sequence |
| CN103226597A (en) * | 2013-04-19 | 2013-07-31 | 北京集奥聚合科技有限公司 | Keyword advertisement matching method based on natural semantics |
-
2017
- 2017-04-21 CN CN201710266172.7A patent/CN107092682A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101246492A (en) * | 2008-02-26 | 2008-08-20 | 华中科技大学 | Full text retrieval system based on natural language |
| CN102110126A (en) * | 2009-12-29 | 2011-06-29 | 潘晓梅 | Information retrieval method and device |
| CN102375885A (en) * | 2011-10-21 | 2012-03-14 | 北京百度网讯科技有限公司 | Method and device for providing search suggestions corresponding to query sequence |
| CN103226597A (en) * | 2013-04-19 | 2013-07-31 | 北京集奥聚合科技有限公司 | Keyword advertisement matching method based on natural semantics |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111078988A (en) * | 2019-12-23 | 2020-04-28 | 创意信息技术股份有限公司 | Electric power service information hotspot retrieval method and device and electronic equipment |
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Address after: 100070, 6, building 2, building 3, Ying Ying century East Road, Fengtai District Automotive Museum, Beijing, 701-1 Applicant after: Beijing August melon Technology Co., Ltd Address before: 100070, 6, building 2, building 3, Ying Ying century East Road, Fengtai District Automotive Museum, Beijing, 701-1 Applicant before: BEIJING HENGGUAN NETWORK DATA TREATMENT CO., LTD. |
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Application publication date: 20170825 |