CN106484721B - Intelligent search system and method - Google Patents
Intelligent search system and method Download PDFInfo
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- CN106484721B CN106484721B CN201510543095.6A CN201510543095A CN106484721B CN 106484721 B CN106484721 B CN 106484721B CN 201510543095 A CN201510543095 A CN 201510543095A CN 106484721 B CN106484721 B CN 106484721B
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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
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The invention relates to an intelligent search system and method. The system comprises a database module, a search box, a prompt module, a query module and a result display module. The database module stores default keywords; the search box is used for performing semantic analysis according to a page browsed by a user, and automatically acquiring a keyword as a search word when the keyword stored in the database module is judged to be in the browsed webpage; the prompting module is used for listing the categories contained in the search terms; the query module is used for selecting the category corresponding to the search term to query the corresponding product according to a selection instruction input by a user; and the result display module is used for displaying the result of the query. By using the system and the method, the flow of user operation is reduced, the time is saved, great convenience is brought to the user, and the user experience is improved.
Description
Technical Field
The present invention relates to the field of computer applications, and more particularly, to an intelligent search system and method.
Background
With the continuous development of the information age, the internet has also come into every corner of people's life. By lightly searching the engine, people can acquire various information often without leaving home, and the sharing of the information greatly facilitates the life of people. The explosion of electronic commerce also provides convenience for people to obtain various services through the internet. However, as the internet user group is increasing, how to more accurately grasp the real intention of the user and provide faster and more convenient services gradually draws attention from service providers and middlemen. In real life, when people browse a network page and find interested words, the people need to input the interested words into a search box for query, so that inconvenience is brought to user browsing, and user experience is reduced.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide an intelligent search system and method, which can facilitate a user to query interested words when the user browses a page, greatly facilitate the user, and improve user experience.
The technical scheme adopted by the invention for solving the technical problems is as follows: constructing an intelligent search system comprising
The database module is stored with default keywords;
the search box is used for performing semantic analysis according to a page browsed by a user and automatically acquiring a keyword as a search word when the keyword stored in the database module is judged to exist on the browsed webpage;
the prompt module is used for listing the categories contained in the search terms;
the query module is used for selecting the category corresponding to the search term to query the corresponding product according to a selection instruction input by a user;
and the result display module is used for displaying the query result.
Preferably, the intelligent search system further includes a search box hiding module, configured to determine whether the web page is sliding, and hide the search box if the web page is sliding.
Preferably, the intelligent search system further comprises an information capture module, configured to, when a user selects a non-keyword of a browsed page, automatically send the selected non-keyword to the search box as a search term.
Preferably, the intelligent search system further includes an automatic pushing module, configured to analyze the search term and push a product similar to the search term or a non-similar product when the query module does not find the corresponding product.
Preferably, the intelligent search system further comprises
And the search box position fixing module is used for fixing the position of the search box according to a search box fixing instruction input by a user, and enabling the position of the search box relative to the frame of the display to be unchanged when the page is slid.
Preferably, the intelligent search system further comprises
And the search box position adjusting module is used for adjusting the position of the search box according to a search box adjusting instruction input by a user, and adjusting the search box to the current browsing position when the page is slid.
The invention also provides an intelligent searching method, which comprises the following steps:
performing semantic analysis according to a page browsed by a user, and automatically acquiring a keyword as a search word when the keyword stored in a database module is judged to be in the browsed page;
listing categories contained by the search terms;
selecting a category corresponding to the search term to query a corresponding product according to a selection instruction input by a user;
the results of the query are displayed.
Preferably, the intelligent search method further comprises the steps of:
and judging whether the network page slides, and if so, hiding the search frame.
Preferably, the intelligent search method further comprises the steps of:
and when the user selects the non-keyword of the browsed page, automatically sending the selected non-keyword to the search box as a search word.
Preferably, the intelligent search method further comprises the steps of:
and when the query module does not find the corresponding information, analyzing the search terms, and pushing products similar to the search terms or non-similar products.
The implementation of the invention has the following beneficial effects: the search box automatically analyzes and acquires the keywords of the page being browsed by the user as search terms, the prompt module lists the categories of the search terms, the user can carry out targeted query, and then the query module queries the corresponding products according to the selection of the user, so that the process of user operation is reduced, the time is saved, great convenience is brought to the user, and the user experience is improved.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a principle of the intelligent search system of the present invention;
FIG. 2 is a flow chart of the intelligent search method of the present invention.
Detailed Description
As shown in fig. 1, in the first embodiment of the intelligent search system of the present invention, the intelligent search system 1 includes a search box 11, a prompt module 12, a query module 13, a result display module 19, a search box hiding module 14, an information capture module 15, an automatic pushing module 16, a search box position fixing module 17, a search box position adjusting module 18, and a database module 110.
The database module 110 stores default keywords, which may be updated continuously, and includes categories of the keywords.
The search box 11 is configured to perform semantic analysis according to a page being browsed by a user, determine whether a keyword stored in the database module 110 exists on the browsed webpage, and if so, automatically acquire the keyword as a search term. When the browsed page changes, the search box 11 performs semantic analysis on a new page, and replaces the original keyword with the keyword on the new page as a search word. Of course, it is also possible to enter the search term directly in the search box 11. The prompt module 12 is used to list the categories contained in the search terms. In practice, a word may include several categories, for example, if the search word is "hail", the categories may be refrigerator, washing machine, air conditioner, etc., and after the prompt module 12 lists the categories, the user may query according to the categories of interest. The search term is "smartphone," and the category of the search term may include Huaye, Zhongxing, Setarian, Association, and so on.
The query module 13 is configured to select a category corresponding to the search term to query a corresponding product according to a selection instruction input by the user.
The result display module 19 is used for displaying the result of the query. The query result comprises information of the name, the model, the manufacturer, the product configuration, the price, the production place and the like of the product.
The search box hiding module 14 is configured to determine whether the web page is sliding, and hide the search box 11 if the web page is sliding. Whether the network page slides or not is judged, wherein the sliding can be up-down sliding or left-right sliding, the search frame 11 can be hidden when the network page moves up and down, or the search frame 11 can be hidden when the network page moves left and right, or the search frame 11 can be hidden when the network page moves up and down or moves left and right.
The information crawling module 15 is used for automatically sending the selected non-keywords to the search box 11 as search terms when the user selects the non-keywords of the browsed page. In practical applications, when a user browses a web page, some terms are not used as keywords by the search box 11, and at this time, the user can select the terms by himself, and the information capture module 15 sends the terms selected by the user to the search box 11 as search terms.
The automatic pushing module 16 is configured to analyze the search term and push a product close to the search term or a product not close to the search term when the corresponding product is not found by the querying module 13. When the user browses a shopping website, the products pushed by the automatic pushing module 16 are the products owned by the shopping website. For example, when the user browses a mobile phone website, and the query module 13 does not query a corresponding product according to the search term, the automatic pushing module 16 obtains the search term, analyzes a keyword in the search term, and then pushes a product containing the keyword. For example, if the search term is a cell phone with a P8 hua, and the query module does not query the cell phone, the automatic pushing module 16 will automatically push a similar product, such as a P6 hua cell phone. When the user browses the millet mobile phone website, the query module 13 does not query the corresponding product according to the search term "Hua is P8 mobile phone", and the automatic pushing module 16 pushes the millet mobile phone.
The search box position fixing module 17 is configured to fix a position of the search box 11 according to a search box fixing instruction input by a user, so that the position of the search box 11 relative to the display frame is unchanged when the page is slid.
The search box position adjusting module 18 is configured to adjust a position of the search box 11 according to a search box adjusting instruction input by a user, and adjust the search box 11 to a currently browsed position when the page is slid.
When the user actually surfs the internet, some users are used to fix the search box 11 at a certain position of the display screen, some users are used to fix the search box 11 beside the page browsed by the user, and the search box position fixing module 17 and the search box position adjusting module 18 can meet different choices of the user.
The invention also provides an intelligent searching method, which comprises the following steps:
s1, the search box 11 performs semantic analysis according to the page browsed by the user, and automatically acquires the keyword as a search word when the keyword stored in the database module 110 is judged to be present on the browsed page.
S2, the prompt module 12 lists the categories contained in the search terms.
S3, the query module 13 selects the category corresponding to the search term to query the corresponding product according to the selection instruction input by the user.
S4, the result display module 19 displays the result of the query.
The intelligent search method may further include the steps of:
s5, the search box hiding module 14 determines whether the web page is sliding, and if so, hides the search box 11. Of course, other conditions may be set to cause the search box hiding module 14 to hide the search box, for example, to set not to display the search box 11 when browsing some specific web pages.
The following steps are also included before step S1:
s10, storing the default keyword in the database module 110.
The following steps may be further included before step S2:
s6, when the user selects a non-keyword of the browsed page, the information crawling module 15 automatically sends the selected non-keyword to the search box 11 as a search word.
The following steps are also included after step S3:
s7, when the query module 13 does not find the corresponding information, the automatic pushing module 16 analyzes the search term, and pushes a product similar to the search term or a product not similar to the search term.
Preferably, in another embodiment, the method may further include step S8 or S9:
s8, the search box position fixing module 17 fixes the position of the search box 11 according to the search box fixing instruction input by the user, so that the position of the search box 11 relative to the display border is unchanged when the page is slid.
S9, the search box position adjusting module 18 adjusts the position of the search box 11 according to the search box adjusting instruction input by the user, and adjusts the search box 11 to the currently browsed position when the page is slid.
In summary, the intelligent search system 1 obtains the keyword of the page being browsed by the user through the search box 11, and the prompt module 12 lists the category of the search term, so as to select the category of the search term, and query the corresponding product through the query module 13. When part of the words are not acquired as keywords by the search box 11, the user may select the non-keyword and send the non-keyword to the search box 11 as a search word by the information capturing module 15. The whole process can automatically help the user to input the search terms in the search box 11, so that the time is saved, secondly, the prompt module 12 displays the categories of the search terms according to the search terms, and the user can inquire with pertinence according to the categories to be inquired, so that the user is facilitated, the time is saved, and the user experience is improved.
When the query module 13 does not query related products, the automatic pushing module 16 may also push similar or dissimilar products for the user, and may promote other products to a certain extent.
It is to be understood that the foregoing examples, while indicating the preferred embodiments of the invention, are given by way of illustration and description, and are not to be construed as limiting the scope of the invention; it should be noted that, for those skilled in the art, the above technical features can be freely combined, and several changes and modifications can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention; therefore, all equivalent changes and modifications made within the scope of the claims of the present invention should be covered by the claims of the present invention.
Claims (10)
1. An intelligent search system, comprising
A database module (110) having stored default keywords;
the search box (11) is used for performing semantic analysis according to a webpage browsed by a user, and automatically acquiring the keywords as search words when the keywords stored in the database module (110) are judged to be on the browsed webpage; when the browsed page changes, the search box performs semantic analysis on a new page, and replaces the original keyword with the keyword on the new page as a search word;
a prompt module (12) for listing categories contained in the search terms;
the query module (13) is used for selecting the category corresponding to the search term to query the corresponding product according to a selection instruction input by a user;
and a result display module (19) for displaying the result of the query.
2. The intelligent search system according to claim 1, wherein the intelligent search system (1) further comprises a search box hiding module (14) for determining whether the web page is sliding, and if so, hiding the search box (11).
3. The intelligent search system according to claim 1, characterized in that the intelligent search system (1) further comprises an information crawling module (15) for automatically sending the selected non-keywords to the search box (11) as search terms when the user selects the non-keywords of the browsed page.
4. The intelligent search system according to claim 1, wherein the intelligent search system (1) further comprises an automatic pushing module (16) for analyzing the search term and pushing a product similar to the search term or a product not similar to the search term when the corresponding product is not found by the query module (13).
5. The intelligent search system according to claim 1, wherein the intelligent search system (1) further comprises
And the search box position fixing module (17) is used for fixing the position of the search box (11) according to a search box fixing instruction input by a user, and enabling the position of the search box (11) relative to the frame of the display to be unchanged when the page is slid.
6. The intelligent search system according to any one of claims 1-4, wherein the intelligent search system (1) further comprises
And the search box position adjusting module (18) is used for adjusting the position of the search box (11) according to a search box adjusting instruction input by a user, and adjusting the search box (11) to the current browsing position when the page is slid.
7. An intelligent search method, comprising the steps of:
the search box (11) performs semantic analysis according to the page browsed by the user, and automatically acquires the keywords as search words when judging that the keywords stored in the database module (110) exist on the browsed webpage; when the browsed page changes, semantic analysis is carried out on a new page, and keywords on the new page replace original keywords to serve as search words;
listing categories contained by the search terms;
selecting a category corresponding to the search term to query a corresponding product according to a selection instruction input by a user;
the results of the query are displayed.
8. The intelligent search method according to claim 7, further comprising the steps of:
and judging whether the network page is sliding, and if so, hiding the search box (11).
9. The intelligent search method according to claim 7, further comprising the steps of:
when the user selects a non-keyword of the browsed page, the selected non-keyword is automatically sent to the search box (11) as a search word.
10. The intelligent search method according to claim 7, further comprising the steps of:
and when the corresponding information is not found, analyzing the search word, and pushing a product close to the search word or a product not close to the search word.
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| CN107463619A (en) * | 2017-07-04 | 2017-12-12 | 广州神马移动信息科技有限公司 | Searching method, search equipment and terminal device |
| CN109408618B (en) * | 2018-09-27 | 2020-11-17 | 北京字节跳动网络技术有限公司 | Keyword recommendation method and device, storage medium and electronic equipment |
| CN114897576B (en) * | 2022-05-05 | 2024-04-19 | 深圳市极客智能科技有限公司 | Commodity pushing method based on data analysis |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103631875A (en) * | 2013-11-08 | 2014-03-12 | 北京奇虎科技有限公司 | Method for carrying out network search on browser side and browser |
| CN103853777A (en) * | 2012-12-04 | 2014-06-11 | 腾讯科技（深圳）有限公司 | Method and device for accessing websites through keywords |
| CN104598507B (en) * | 2014-08-14 | 2018-03-30 | 腾讯科技（北京）有限公司 | Information search method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US8271473B2 (en) * | 2007-06-25 | 2012-09-18 | Jobs2Web, Inc. | System and method for career website optimization |
| JP4897846B2 (en) * | 2009-03-17 | 2012-03-14 | ヤフー株式会社 | Related information providing apparatus, system thereof, program thereof, and method thereof |
| US9298851B2 (en) * | 2011-05-06 | 2016-03-29 | Microsoft Technology Licensing, Llc | Presenting related searches on a toolbar |
| US8667007B2 (en) * | 2011-05-26 | 2014-03-04 | International Business Machines Corporation | Hybrid and iterative keyword and category search technique |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103853777A (en) * | 2012-12-04 | 2014-06-11 | 腾讯科技（深圳）有限公司 | Method and device for accessing websites through keywords |
| CN103631875A (en) * | 2013-11-08 | 2014-03-12 | 北京奇虎科技有限公司 | Method for carrying out network search on browser side and browser |
| CN104598507B (en) * | 2014-08-14 | 2018-03-30 | 腾讯科技（北京）有限公司 | Information search method and device |
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Effective date of registration: 20170419 Address after: Longgang District of Shenzhen City, Guangdong province 518000 Bantian street gang snow road No. 2018, Cheonan cloud Valley an Industrial Park 3 building 2401, unit 2402 Applicant after: Shenzhen strong component network Co., Ltd. Address before: The people of Luohu District road Shenzhen city Guangdong province 518001 A Shenzhen Plaza No. 3005 32 floor Applicant before: Shenzhen Secom Advanced Technologies Co., Ltd. |
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