CN110347911A - The method of one e-commerce website commercial articles searching automatic push - Google Patents
The method of one e-commerce website commercial articles searching automatic push Download PDFInfo
- Publication number
- CN110347911A CN110347911A CN201910449594.7A CN201910449594A CN110347911A CN 110347911 A CN110347911 A CN 110347911A CN 201910449594 A CN201910449594 A CN 201910449594A CN 110347911 A CN110347911 A CN 110347911A
- Authority
- CN
- China
- Prior art keywords
- keyword
- participle
- client
- participles
- new
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000004458 analytical method Methods 0.000 claims abstract description 26
- 230000011218 segmentation Effects 0.000 claims abstract description 17
- 238000012544 monitoring process Methods 0.000 claims abstract description 9
- 239000004744 fabric Substances 0.000 claims description 4
- 238000004321 preservation Methods 0.000 claims description 3
- 238000010792 warming Methods 0.000 description 15
- 239000002699 waste material Substances 0.000 description 4
- 238000009413 insulation Methods 0.000 description 3
- 238000010835 comparative analysis Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000011449 brick Substances 0.000 description 1
- 238000002716 delivery method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000004570 mortar (masonry) Substances 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000001835 salubrious effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Classifications
-
- 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
-
- 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
- G06F16/9538—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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—Item recommendations
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Accounting & Taxation (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses the methods of an e-commerce website commercial articles searching automatic push, and the method comprising the steps of: 1) electronic site monitoring client inputs the keyword of search；2) electronic site carries out content analysis to the keyword monitored, analysis method are as follows: keyword forward direction is split as multiple participles, then the quantity of each participle is counted, and calculate the ratio that each participle quantity accounts in the quantity summation of all participles, then it is present in dictionary according to dictionary for word segmentation handle and the highest participle of proportion is got in this participle, the participle got from these participles is finally formed new set of keywords；3) set of new keyword is got rid of the keyword of client's input by electronic site, by remaining keyword recommendation to client.The keyword that monitoring client inputs search is analyzed and processed, and client is given to promote accurate similar new key, while meeting client and need, is realized effective use of Business Information popularization, is avoided the wasting of resources.
Description
Technical field
The invention belongs to technical field of electronic commerce, more particularly to an e-commerce website commercial articles searching automatic push
Method.
Background technique
With the development of e-commerce, more and more consumers tends to shopping at network, unlike solid shop/brick and mortar store, net
Network shopping is needed according to shopping, and the commodity of needs, the keyword of service are inputted on e-commerce website.Currently, most of electricity
Sub- business web site is that simple search term is handled to the processing of search term, places into site search engine and carries out exact matching and searches
Rope.This mode requires consumer to need to input the search term (for example, name of product) of simple, intuitive, just can achieve preferably
Search effect.In other words, the search term that e-commerce platform search engine inputs user it is more demanding.Only search term is clear
It is clear to be illustrated, can just there are preferably search result and recall rate with the search term that pairs of word individual character occurs.Existing search pushes away
Delivery method is unable to promote the higher new keyword of keyword match degree searched for client to client, causes to push away in this way
Wide method does not bring use to cause the waste of resource instead to client.Such as: Chinese Patent Application No. is
In 201610785278.3 patent, discloses and search for word treatment method and system in a kind of searching service, including " excavate and climb
Product data are taken, dictionary is extracted from product data；And according to dictionary, analysis obtains the part of speech sequence and feature of prior searches word
List；Word segmentation processing is carried out to current search word, according to the part of speech sequence and feature list of prior searches word, obtains current search
The part of speech of word, and determine the weight of participle；According to the weight of participle, search term to be searched is determined " this promotion method is direct
Analysis lookup is carried out to the search term of client's input, the new search term promoted for client is frequently not to make required for client
At the waste of resource.
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 of an e-commerce website commercial articles searching automatic push, can effectively solve
The above-mentioned new search term promoted for client is frequently not the shortcoming that the waste of resource is caused required for client.
The purpose of the present invention is realized by following technical proposals:
The method of one e-commerce website commercial articles searching automatic push, the method comprising the steps of:
1) electronic site monitoring client inputs the keyword of search；
2) electronic site carries out content analysis, analysis method are as follows: keyword forward direction is split as to the keyword monitored
Multiple participles, then count the quantity of each participle, and calculate what each participle quantity accounted in the quantity summation of all participles
Then ratio is present in dictionary according to dictionary for word segmentation handle and the highest participle of proportion is got in this participle,
The participle got from these participles is finally formed new set of keywords；
3) set of new keyword is got rid of the keyword of client's input by electronic site, by remaining keyword recommendation
To client.
Preferably, further including that the keyword of client's input and the new set of keywords of analysis carry out matching preservation entrance
Database.
It by remaining keyword recommendation is according to the information issuing time corresponding to keyword to client preferably, described
Subject to the newest publication of preferential recommendation.
Preferably, first being retrieved to database before carrying out content analysis to keyword, having searched whether corresponding pass
Key digital data had been saved.
Preferably, if multiple participles ratio shared in all participles is all highest, root in step 2)
According to each position of the participle in keyword reference number from the beginning to the end, and take serial number in the highest participle of these ratios the smallest
Participle is as the participle for forming new key.
Compared with prior art, the beneficial effects of the present invention are:
The present invention is analyzed and processed by the keyword that monitoring client inputs search, promotes accurate class to client automatically
As new key, while can satisfy client and need, realize effective use of Business Information popularization, avoid resource
Waste.
Detailed description of the invention
Fig. 1 is the principle of the present invention block diagram.
Specific embodiment
Combined with specific embodiments below and attached drawing the present invention is further illustrated.
Embodiment one
As shown in Figure 1, the method for an e-commerce website commercial articles searching automatic push, the method comprising the steps of:
1) electronic site monitoring client inputs the keyword of search, and the keyword that client inputs is recorded, and carries out
Content analysis；Such as monitor that client inputs " winter warming male down jackets ".
2) electronic site carries out content analysis, analysis method to the keyword monitored are as follows: keyword " winter warming male
Down jackets " forward direction is split as multiple participles, is then based on the quantity of each participle of statistics of segmentation methods, and calculates each participle
The ratio that quantity accounts in the quantity summation of all participles, such as the wherein participle quantity proportion highest of " warming ", then
According to dictionary for word segmentation be present in dictionary and this participle in proportion it is highest participle get, finally from this
The new participle set got in a little participles forms new set of keywords, i.e., by the participle quantitative proportion highest of key word split
Got in dictionary for word segmentation, form new participle set, wherein the participle of " warming " obtained in dictionary for word segmentation it is new
Participle set, obtaining new set of keywords includes " heat insulation trousers, thermal cloth, warming XX etc. "；
3) set of new keyword is got rid of the keyword of client's input by electronic site, by remaining keyword recommendation
To client, according to the information issuing time corresponding to keyword according to the keyword of the newest publication of preferential recommendation when recommendation.
The set of these new keywords facilitates client and oneself institute by showing that the lower position on custom search column shows client
Input keyword is compared and analyzed and is selected.
It in the present embodiment, is analyzed and processed by the keyword that monitoring client inputs search, promotes essence to client automatically
True similar new key while can satisfy client and need, realizes effective use of Business Information popularization, avoids making
At the wasting of resources.
Embodiment two
As shown in Figure 1, the method for an e-commerce website commercial articles searching automatic push, the method comprising the steps of:
1) electronic site monitoring client inputs the keyword of search, and the keyword that client inputs is recorded, and carries out
Content analysis；Such as monitor that client inputs " winter warming male down jackets ".
2) electronic site carries out content analysis, analysis method to the keyword monitored are as follows: keyword " winter warming male
Down jackets " forward direction is split as multiple participles, is then based on the quantity of each participle of statistics of segmentation methods, and calculates each participle
The ratio that quantity accounts in the quantity summation of all participles, such as the wherein participle quantity proportion highest of " warming ", then
According to dictionary for word segmentation be present in dictionary and this participle in proportion it is highest participle get, finally from this
The new participle set got in a little participles forms new set of keywords, i.e., by the participle quantitative proportion highest of key word split
Got in dictionary for word segmentation, form new participle set, wherein the participle of " warming " obtained in dictionary for word segmentation it is new
Participle set, obtaining new set of keywords includes " heat insulation trousers, thermal cloth, warming XX etc. "；The keyword of client's input and new
Set of keywords carry out matching save enter database, each time to keyword carry out content analysis before, first to database into
Row retrieval, has searched whether that corresponding key data had been saved, new if there is matching with client's input keyword
Keyword have been saved in database, then the data being directly saved to present customers, that is, inputted keyword is extremely
Primary analysis was done less, has been shown that set of keywords new corresponding to input keyword is stored in database, has been no longer needed to do
Analysis.Such as: when client inputs " autumn ", retrieves and overmatching is done to keyword " autumn ", and in data
Have in library and directly recommend client with " autumn " matched keyword, such as " autumn trousers, autumn clothing, autumn and winter etc. ", without doing again
Analysis.
3) set of new keyword is got rid of the keyword of client's input by electronic site, according to corresponding to keyword
Information issuing time is issued as brigadier according to preferential recommendation is newest, and remaining keyword recommendation is to client.These new keywords
Set by showing that lower position on custom search column shows client, facilitate client and oneself inputted keyword progress
Comparative analysis and selection.
In the present embodiment, the keyword that new keyword and client's input are obtained by content analysis carries out matching preservation,
The accumulation for realizing database, the pushed information for the keyword searched for only need to recall from database to present customers,
Without analyzing again, resource has been saved.
Embodiment three
As shown in Figure 1, the method for an e-commerce website commercial articles searching automatic push, the method comprising the steps of:
1) electronic site monitoring client inputs the keyword of search, and the keyword that client inputs is recorded, and carries out
Content analysis；Such as monitor that client inputs " winter warming male down jackets ".
2) electronic site carries out content analysis, analysis method to the keyword monitored are as follows: keyword " winter warming male
Down jackets " forward direction is split as multiple participles, is then based on the quantity of each participle of statistics of segmentation methods, and calculates each participle
The ratio that quantity accounts in the quantity summation of all participles, such as the wherein participle quantity proportion highest of " warming ", then
According to dictionary for word segmentation be present in dictionary and this participle in proportion it is highest participle get, finally from this
The new participle set got in a little participles forms new set of keywords, i.e., by the participle quantitative proportion highest of key word split
Got in dictionary for word segmentation, form new participle set, wherein the participle of " warming " obtained in dictionary for word segmentation it is new
Participle set, obtaining new set of keywords includes " heat insulation trousers, thermal cloth, warming XX etc. "；
3) set of new keyword is got rid of the keyword of client's input by electronic site, according to corresponding to keyword
Information issuing time is issued as brigadier according to preferential recommendation is newest, and remaining keyword recommendation is to client.These new keywords
Set by showing that lower position on custom search column shows client, facilitate client and oneself inputted keyword progress
Comparative analysis and selection.
In step 2) if multiple participles ratio shared in all participles be all it is highest, according to each participle
Position in keyword reference number from the beginning to the end, and take in the highest participle of these ratios the smallest participle of serial number as shape
New participle is searched in dictionary for word segmentation at the participle of new key, then with the smallest participle of serial number, by these new participle collection
Conjunction ultimately forms new set of keywords.Such as client input keyword be " summer cotta " when, wherein participle " summer "
" cotta " shared quantitative proportion in entire participle is identical, then by keyword " summer cotta " reference number from the beginning to the end, choosing
The participle that the small participle of serial number i.e. " summer " form new keyword is selected, then forms new keyword, such as is " summer, salubrious, cool
It feels well ".
In the present embodiment, solves the case where highest rate participle for identical quantity occur, make this method more.
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. the method for an e-commerce website commercial articles searching automatic push, it is characterised in that: the method comprising the steps of:
1) electronic site monitoring client inputs the keyword of search；
2) electronic site carries out content analysis, analysis method are as follows: keyword forward direction is split as multiple to the keyword monitored
Participle, then counts the quantity of each participle, and calculates the ratio that each participle quantity accounts in the quantity summation of all participles,
Then it is present in dictionary according to dictionary for word segmentation handle and the highest participle of proportion is got in this participle, finally handle
The participle got from these participles forms new set of keywords；
3) set of new keyword is got rid of the keyword of client's input by electronic site, by remaining keyword recommendation to visitor
Family.
2. the method for e-commerce website commercial articles searching automatic push according to claim 1, it is characterised in that: also
Keyword including client's input match preservation into database with the new set of keywords of analysis.
3. the method for e-commerce website commercial articles searching automatic push according to claim 1, it is characterised in that: institute
Stating remaining keyword recommendation to client is according to the information issuing time corresponding to keyword according to the newest hair of preferential recommendation
Subject to cloth.
4. the method for e-commerce website commercial articles searching automatic push according to claim 2, it is characterised in that: right
Before keyword carries out content analysis, first database is retrieved, has searched whether that corresponding key data had been saved.
5. the method for e-commerce website commercial articles searching automatic push according to claim 1, it is characterised in that:
In step 2) if multiple participles ratio shared in all participles be all it is highest, according to each participle in keyword
Position reference number from the beginning to the end, and take in the highest participle of these ratios the smallest participle of serial number as forming new key
Participle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910449594.7A CN110347911A (en) | 2019-05-28 | 2019-05-28 | The method of one e-commerce website commercial articles searching automatic push |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910449594.7A CN110347911A (en) | 2019-05-28 | 2019-05-28 | The method of one e-commerce website commercial articles searching automatic push |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110347911A true CN110347911A (en) | 2019-10-18 |
Family
ID=68174612
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910449594.7A Pending CN110347911A (en) | 2019-05-28 | 2019-05-28 | The method of one e-commerce website commercial articles searching automatic push |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110347911A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101320376A (en) * | 2008-07-03 | 2008-12-10 | 宇龙计算机通信科技(深圳)有限公司 | Database search method, system and mobile communication terminal |
| CN101546308A (en) * | 2008-09-25 | 2009-09-30 | 厦门市美亚柏科资讯科技有限公司 | Web page search method and web page search system based on overdue retrieval |
| CN102768685A (en) * | 2012-07-24 | 2012-11-07 | 杭州东方网升科技有限公司 | Content recommendation method based on keyword matching |
| CN105138511A (en) * | 2015-08-10 | 2015-12-09 | 北京思特奇信息技术股份有限公司 | Method and system for semantically analyzing search keyword |
| CN106897317A (en) * | 2015-12-21 | 2017-06-27 | 北京奇虎科技有限公司 | Based on the method and apparatus that keyword scans for recommending |
| CN109189990A (en) * | 2018-07-25 | 2019-01-11 | 北京奇艺世纪科技有限公司 | A kind of generation method of search term, device and electronic equipment |
| CN109918555A (en) * | 2019-02-20 | 2019-06-21 | 百度在线网络技术（北京）有限公司 | Method, apparatus, equipment and the medium suggested for providing search |
-
2019
- 2019-05-28 CN CN201910449594.7A patent/CN110347911A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101320376A (en) * | 2008-07-03 | 2008-12-10 | 宇龙计算机通信科技(深圳)有限公司 | Database search method, system and mobile communication terminal |
| CN101546308A (en) * | 2008-09-25 | 2009-09-30 | 厦门市美亚柏科资讯科技有限公司 | Web page search method and web page search system based on overdue retrieval |
| CN102768685A (en) * | 2012-07-24 | 2012-11-07 | 杭州东方网升科技有限公司 | Content recommendation method based on keyword matching |
| CN105138511A (en) * | 2015-08-10 | 2015-12-09 | 北京思特奇信息技术股份有限公司 | Method and system for semantically analyzing search keyword |
| CN106897317A (en) * | 2015-12-21 | 2017-06-27 | 北京奇虎科技有限公司 | Based on the method and apparatus that keyword scans for recommending |
| CN109189990A (en) * | 2018-07-25 | 2019-01-11 | 北京奇艺世纪科技有限公司 | A kind of generation method of search term, device and electronic equipment |
| CN109918555A (en) * | 2019-02-20 | 2019-06-21 | 百度在线网络技术（北京）有限公司 | Method, apparatus, equipment and the medium suggested for providing search |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10726446B2 (en) | Method and apparatus for pushing information | |
| CN103412937B (en) | A kind of search purchase method based on handheld terminal | |
| JP5778255B2 (en) | Method, system, and apparatus for query based on vertical search | |
| CN107491996B (en) | Webpage advertisement putting method and system | |
| WO2016091114A1 (en) | Information pushing method and device | |
| CN107729336A (en) | Data processing method, equipment and system | |
| CN110019689A (en) | Position matching process and position matching system | |
| CN106779827A (en) | A kind of Internet user's behavior collection and the big data method of analysis detection | |
| CN106484764A (en) | User's similarity calculating method based on crowd portrayal technology | |
| CN104615627B (en) | A kind of event public feelings information extracting method and system based on microblog | |
| CN101520878A (en) | Method, device and system for pushing advertisements to users | |
| CN103064880B (en) | A kind of methods, devices and systems providing a user with website selection based on search information | |
| CN103136224A (en) | Recommendation method and device for keywords | |
| CN107451208A (en) | A kind of data search method and device | |
| CN105023178B (en) | A kind of electronic commerce recommending method based on ontology | |
| CN105868267A (en) | Modeling method for mobile social network user interests | |
| CN105989125B (en) | The searching method and system of tag recognition are carried out to no result word | |
| CN108737524B (en) | Enterprise information pushing method | |
| CN105631016A (en) | Guide type retrieval method and system | |
| CN105589916B (en) | Method for extracting explicit and implicit interest knowledge | |
| CN110297967B (en) | Method, device and equipment for determining interest points and computer readable storage medium | |
| Thorleuchter et al. | Companies website optimising concerning consumer's searching for new products | |
| CN104765890B (en) | A kind of fast searching method and device | |
| CN112184370A (en) | Method and device for pushing product | |
| CN110347911A (en) | The method of one e-commerce website commercial articles searching automatic push |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191018 |