CN110348940A - A kind of method that e-commerce website search is suggested - Google Patents
A kind of method that e-commerce website search is suggested Download PDFInfo
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- CN110348940A CN110348940A CN201910450361.9A CN201910450361A CN110348940A CN 110348940 A CN110348940 A CN 110348940A CN 201910450361 A CN201910450361 A CN 201910450361A CN 110348940 A CN110348940 A CN 110348940A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/242—Query formulation
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Recommending goods or services
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Abstract
The invention discloses the methods that a kind of search of e-commerce website is suggested, comprising the following steps: building query suggestion index first；Next screens and filters invalid query suggestion；Then in step 2) through screening and filtered query suggestion, successively sorted from high to low according to the popularity of every query suggestion；Finally export query suggestion ranking results.The present invention realizes the real promotion of search conversion ratio, and user substantially relies on site search automatic prompt and automatic corrigendum to know their correct spelling words, it is ensured that site search solution meets the requirements.The query suggestion of offer facilitates user and inputs longer inquiry, and for mobile subscriber, it, which reduces, executes the required key entry amount of search, this is not only to typewrite to reduce, and help the best search of user's formulation, more can quickly help the commodity for finding client's needs.
Description
Technical field
The invention belongs to technical field of computer information processing, suggest more particularly to a kind of search of e-commerce website
Method.
Background technique
In recent years, the step of other e-commerce technologies is followed, search site has become mainstream in recent years, and search is suggested
Expected mark as the well-designed function of search of e-commerce website.When user selects from search suggestion rather than input
When themselves complete query, they can be benefited.If because leading to certain contents after several characters before input product title
It is not shown as search suggestion or returns to zero as a result, then certain user may think that the website does not provide the product and not
The website is abandoned in the case where executing search.It undoubtedly will cause customer churn in this way, influence Merchant sales achievement.
Therefore, the emphasis how to solve the above problems as those skilled in the art's research.
Summary of the invention
It is an object of the invention to provide the methods that a kind of search of e-commerce website is suggested, can be fully solved above-mentioned existing
The shortcoming of technology.
The purpose of the present invention is realized by following technical proposals:
A kind of method that e-commerce website search is suggested, comprising the following steps:
1) building query suggestion index；
2) it screens and filters invalid query suggestion；
3) in step 2) through screening and filtered query suggestion, according to the popularity of every query suggestion by height to
It is low successively to sort；
4) query suggestion ranking results are exported.
Preferably, the method that building query suggestion indexes in step 1) are as follows:
11) associative key is obtained；
12) assigned according to the classification of keyword with one ID collection of class keywords, in the ID collection of class keywords to each pass
Keyword assigns an ID value；
13) it establishes index data for each ID value and stores, the preferential calling principle of each ID value is according to representated by ID value
The popularity of keyword successively call from high to low.
Preferably, the acquiring way of keyword includes electronic document, network log in step 11).
Preferably, popularity is that search engine is determining based on popularity score is used, popularity score is by Count
Value determine, Count value is bigger, indicate popularity it is higher.
Preferably, in step 2) invalid query suggestion include suggestion index returned the result query suggestion less than 5,
It include the query suggestion of word of being put on the blacklist.
Compared with prior art, the beneficial effects of the present invention are:
The present invention realizes the real promotion of search conversion ratio, and user substantially relies on site search automatic prompt and oneself
Dynamic corrigendum is to know their correct spelling words, it is ensured that site search solution meets the requirements.The query suggestion of offer has
Help user and input longer inquiry, for mobile subscriber, it, which reduces, executes the required key entry amount of search, this is not only to beat
Word is reduced, and user is helped to formulate best search, more can quickly help the commodity for finding client's needs.
Detailed description of the invention
Fig. 1 is flow diagram of the invention；
Specific embodiment
The present invention is further illustrated with attached drawing combined with specific embodiments below.
As shown in Figure 1, a kind of method that e-commerce website search is suggested, comprising the following steps:
1) building query suggestion index；It is specific:
11) associative key is obtained, the source of keyword can be the electronic document of collection, can be from network log
The correlation word of middle preservation searched for obtains the robots file of website and the siteMap file of website by station address,
The data in robots file and siteMap file are traversed, the link information that website allows search engine to search record are extracted, according to chain
Information is connect, the corresponding HTML information of link information is obtained, in analysis HTML < motaname=" keywords " content=
" XXX " > label, wherein the corresponding XXX of content be the corresponding key words content linked in label, and with symbol ",
|::,." as cutting foundation, by carrying out participle fractionation to key words content, and invalid phrase is filtered, extracts core phrase,
Further based on core phrase, neologisms are added before and after core phrase, are combined into derivative phrase, the core phrase and are spread out
New word group is the keyword data that final search engine searches record inquiry, by the storage of this data into storage medium；Special, if,
There is no rotbots file, is defaulted as all pages and all grabs；
12) since different clients demand is different, varied the product of same client purchase, keyword is various,
Type is different, it is therefore desirable to be assigned according to the classification of keyword with one ID collection of class keywords, with right in the ID collection of class keywords
Each keyword assigns an ID value；
13) it establishes index data for each ID value and stores, the preferential calling principle of each ID value is according to representated by ID value
The popularity of keyword successively call from high to low.
2) invalid query suggestion is screened and filters, invalid query suggestion includes that suggestion index has been returned the result less than 5
Query suggestion includes the query suggestion of word of being put on the blacklist；
3) in step 2) through screening and filtered query suggestion, according to the popularity of every query suggestion by height to
It is low successively to sort,；
Specifically, step 3) it is described screening and filtering realized by following steps:
31) seed bank of artificial default screening and filtering；
32) seed bank and user behavior data of client destination information type are obtained；
33) primary filtration is carried out to the seed bank according to the user behavior data and preset filtering rule, obtains Candidate Set；
Wherein, include: the step of acquisition Candidate Set in step 33)
(1) according to the user behavior data, the user for having user behavior to the graphic message in the seed bank is pulled, is obtained
First user set；
(2) determine that each user is to the attention rate of the seed bank in first user set；
(3) user that attention rate is greater than preset first threshold is added in second user set；
(4) behavioral data for inquiring user in the second user set is obtained with pulling the graphic message that user has behavior
First graphic message set；
(5) coverage of each graphic message in the first graphic message set is determined；
(6) graphic message that coverage is greater than second threshold is added to the second graphic message set；
(7) using the second user set and the second graphic message set as Candidate Set.
34) transfer matrix, and initialising subscriber marking vector (UserRank) and page marking are constructed based on the Candidate Set
Vector (PageRank)；
35) vector sum page marking vector is given a mark to the information progress in the Candidate Set according to the transfer matrix, user
Filtering, obtains target query suggestion knot；
4) query suggestion ranking results are exported.
The popularity being mentioned in embodiment is search engine based on using popularity score to determine, popularity score
It being determined by the value of Count, Count value is bigger, indicates that popularity is higher, and Count value can be measured in several ways, than
It such as, can be by user to the quantity etc. of the browsing time length of graphic message in the seed bank, and/or the graphic message of browsing
It is counted, the browsing time is longer, and/or the quantity the more, shows that attention rate is higher, otherwise, then attention rate is lower.
A kind of method that e-commerce website search is suggested, the present embodiment list a case to realize the present invention
Example, and the programming code for realizing the case enumerated as follows:
Index creation:
"query":"iphone 7",
"count":"count 1"
"query":"iphone 8",
"count":"count 2"
……
"query":"iphone x",
"count":"count m"
}
Query suggestion screening, filtering and sequence:
It is automatically performed output query suggestion result:
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (5)
1. a kind of method that e-commerce website search is suggested, it is characterised in that: the following steps are included:
1) building query suggestion index；
2) it screens and filters invalid query suggestion；
3) in step 2) through screening and filtered query suggestion, according to the popularity of every query suggestion from high to low according to
Minor sort；
4) query suggestion ranking results are exported.
2. a kind of method that e-commerce website search is suggested according to claim 1, it is characterised in that: structure in step 1)
The method for building query suggestion index are as follows:
11) associative key is obtained；
12) assigned according to the classification of keyword with one ID collection of class keywords, in the ID collection of class keywords to each keyword
Assign an ID value；
13) it establishes index data for each ID value and stores, preferential calling principle pass according to representated by ID value of each ID value
The popularity of keyword is successively called from high to low.
3. a kind of method that e-commerce website search is suggested according to claim 2, it is characterised in that: in step 11)
The acquiring way of keyword includes electronic document, network log.
4. the method that a kind of e-commerce website search according to claim 2 is suggested, it is characterised in that: popularity is
Search engine based on use popularity score determine, popularity score is determined by the value of Count, and Count value is bigger, expression by
Welcome degree is higher.
5. a kind of method that e-commerce website search is suggested according to claim 1, it is characterised in that: nothing in step 2)
Effect query suggestion includes that suggestion index has returned the result query suggestion less than 5, included the looking into of word of being put on the blacklist
It askes and suggests.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101984423A (en) * | 2010-10-21 | 2011-03-09 | 百度在线网络技术（北京）有限公司 | Hot-search word generation method and system |
| CN102667768A (en) * | 2009-10-15 | 2012-09-12 | A9.Com有限公司 | Dynamic search suggestion and category specific completion |
| CN102831224A (en) * | 2012-08-24 | 2012-12-19 | 北京百度网讯科技有限公司 | Creating method for data index base and searching suggest generation method and device |
| CN102982023A (en) * | 2011-09-02 | 2013-03-20 | 北京百度网讯科技有限公司 | Method and device for providing search suggestion |
| KR20140031429A (en) * | 2012-08-28 | 2014-03-13 | 에스케이플래닛 주식회사 | Item recommend system and method thereof, apparatus supporting the same |
| CN103729386A (en) * | 2012-10-16 | 2014-04-16 | 阿里巴巴集团控股有限公司 | Information query system and method |
| CN104376014A (en) * | 2013-08-15 | 2015-02-25 | 中国科学院声学研究所 | Structured P2P network resource publishing and querying method |
| CN104699751A (en) * | 2014-12-30 | 2015-06-10 | 北京奇虎科技有限公司 | Search recommending method and device based on search terms |
| CN105095440A (en) * | 2015-07-23 | 2015-11-25 | 百度在线网络技术（北京）有限公司 | Search recommendation method and device |
| CN106126618A (en) * | 2016-06-22 | 2016-11-16 | 清华大学 | Email address based on name recommends method and system |
| CN107291956A (en) * | 2017-07-28 | 2017-10-24 | 南京焦点领动云计算技术有限公司 | The system and method for record information is searched in a kind of quick search website |
| US20180239798A1 (en) * | 2005-06-20 | 2018-08-23 | Paypal, Inc. | System to generate related search queries |
| CN108932248A (en) * | 2017-05-24 | 2018-12-04 | 苏宁云商集团股份有限公司 | A kind of search realization method and system |
-
2019
- 2019-05-28 CN CN201910450361.9A patent/CN110348940A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180239798A1 (en) * | 2005-06-20 | 2018-08-23 | Paypal, Inc. | System to generate related search queries |
| CN102667768A (en) * | 2009-10-15 | 2012-09-12 | A9.Com有限公司 | Dynamic search suggestion and category specific completion |
| CN101984423A (en) * | 2010-10-21 | 2011-03-09 | 百度在线网络技术（北京）有限公司 | Hot-search word generation method and system |
| CN102982023A (en) * | 2011-09-02 | 2013-03-20 | 北京百度网讯科技有限公司 | Method and device for providing search suggestion |
| CN102831224A (en) * | 2012-08-24 | 2012-12-19 | 北京百度网讯科技有限公司 | Creating method for data index base and searching suggest generation method and device |
| KR20140031429A (en) * | 2012-08-28 | 2014-03-13 | 에스케이플래닛 주식회사 | Item recommend system and method thereof, apparatus supporting the same |
| CN103729386A (en) * | 2012-10-16 | 2014-04-16 | 阿里巴巴集团控股有限公司 | Information query system and method |
| CN104376014A (en) * | 2013-08-15 | 2015-02-25 | 中国科学院声学研究所 | Structured P2P network resource publishing and querying method |
| CN104699751A (en) * | 2014-12-30 | 2015-06-10 | 北京奇虎科技有限公司 | Search recommending method and device based on search terms |
| CN105095440A (en) * | 2015-07-23 | 2015-11-25 | 百度在线网络技术（北京）有限公司 | Search recommendation method and device |
| CN106126618A (en) * | 2016-06-22 | 2016-11-16 | 清华大学 | Email address based on name recommends method and system |
| CN108932248A (en) * | 2017-05-24 | 2018-12-04 | 苏宁云商集团股份有限公司 | A kind of search realization method and system |
| CN107291956A (en) * | 2017-07-28 | 2017-10-24 | 南京焦点领动云计算技术有限公司 | The system and method for record information is searched in a kind of quick search website |
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