CN107679170A - A kind of web information flow method and system based on user behavior analysis - Google Patents
A kind of web information flow method and system based on user behavior analysis Download PDFInfo
- Publication number
- CN107679170A CN107679170A CN201710907947.4A CN201710907947A CN107679170A CN 107679170 A CN107679170 A CN 107679170A CN 201710907947 A CN201710907947 A CN 201710907947A CN 107679170 A CN107679170 A CN 107679170A
- Authority
- CN
- China
- Prior art keywords
- module
- information
- user
- website
- web
- 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
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
- G06F16/957—Browsing optimisation, e.g. caching or content distillation
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a kind of web information flow method and system based on user behavior analysis in Optimization Technology for Website field, the Website Optimize System based on user behavior analysis includes user interactive module, information reading module, message processing module, Information procession module, information classification module, database, recommending module and web information flow module, and the optimization method for being somebody's turn to do the website based on user behavior analysis comprises the following steps：S1：Information gathering；S2：Information processing；S3：Web information flow：Recommending module passes through proposed algorithm, draw user's webpage interested, web information flow module carries out the optimization to website according to user's webpage interested, pass through the analysis to user's internet behavior, and the extraction of user's online key content is extracted, and then user's site information interested is drawn, the optimization to website is finally realized according to user website interested, actual conditions of the invention from user so that the optimization of website meets the use needs of user.
Description
Technical field
The present invention relates to Optimization Technology for Website field, specially a kind of web information flow method based on user behavior analysis and
System.
Background technology
The application of internet is more and more extensive, and the major way that user contacts internet is still excellent by website, website
Change is website to be referred on the basis for understanding search engine nature ranking mechanism, to the adjustment inside and out the progress of website
Optimization, the natural ranking of website keyword in a search engine is improved, obtain more amounts of showing, attract more target customer's points
Hit and access website, web information flow includes whole optimization of standing, interior optimization of standing, outer optimization of standing, suitable search engine when being exactly website design
Retrieval, meet the index of search engine ranking, it is forward so as to obtain traffic ranking in search engine retrieving, strengthen search engine
The effect of marketing, the ranking that the keyword for enabling website related has had.Existing web information flow method complex operation, optimization efficiency
It is low, it can not meet and use needs.A kind of therefore, it is proposed that web information flow method and system based on user behavior analysis.
The content of the invention
It is an object of the invention to provide a kind of web information flow method and system based on user behavior analysis, with solution
The existing web information flow method complex operation proposed in background technology is stated, optimization efficiency is low, can not meet asking using needs
Topic.
To achieve the above object, the present invention provides following technical scheme：A kind of web information flow based on user behavior analysis
System, being somebody's turn to do the Website Optimize System based on user behavior analysis includes user interactive module, information reading module, information processing mould
Block, Information procession module, information classification module, database, recommending module and web information flow module；
The user interactive module realizes that user carries out the website behavior operation of correlation, the user mutual on the internet
Module is connected with information reading module, and described information read module reads the information of user's internet behavior, and realizes to surfing the net
For the collection of information, described information read module is connected with described information processing module, by described information processing module to institute
The internet behavior information being used for that information reading module is gathered is stated to be handled and analyzed, described information processing module with it is described
Information procession module connects, and the information transfer after the processing of described information processing module is described to described information processing module
Information procession module carries out the extraction of keyword, described information processing module and described information sort module to the information after processing
Connection, information classification module use clustering algorithm, realize the classification to information, and sorted information is stored to the data
In storehouse, the database is connected with the recommending module, and the recommending module draws user's net interested by proposed algorithm
Page, and webpage recommending is connected to user, the recommending module with the web information flow module, web information flow module is according to
User's webpage interested that recommending module is recommended, is optimized to website.
Preferably, described information read module realizes user using analysis web page storage folder, historical record and user behavior
The reading of behavioural information, the user behavior is browsing the operation of webpage including user, including prints, preserves, edits and replicate.
Preferably, described information processing module is realized in webpage by being processed to the web page contents that user browses
Appearance is extracted, and extraction content includes keyword, content and title.
Preferably, described information sort module, by Weight algorithm, is assigned after the key content of extraction to specific content
Weight is given, the classification of content is then carried out by clustering algorithm.
Preferably, a kind of optimization method of the website based on user behavior analysis, should the website based on user behavior analysis
Optimization method comprise the following steps：
S1：Information gathering：The internet behavior information of user is gathered by information reading module；
S2：Information processing：Enter the place of row information by message processing module, Information procession module and information assigning module
Reason, processing and classification；
S3：Web information flow：Recommending module draws user's webpage interested, web information flow module root by proposed algorithm
The optimization to website is carried out according to user's webpage interested.
Compared with prior art, the beneficial effects of the invention are as follows：The invention proposes a kind of based on user behavior analysis
Web information flow method and system, by the analysis to user's internet behavior, and the extraction of user's online key content is extracted, and then
User's site information interested is drawn, the optimization to website is finally realized according to user website interested, the invention is from user
Actual conditions set out so that the optimization of website meets the use needs of user.
Brief description of the drawings
Fig. 1 is principle of the invention block diagram.
In figure：1 user interactive module, 2 information reading modules, 3 message processing modules, 4 Information procession modules, 5 information point
Generic module, 6 databases, 7 recommending modules, 8 web information flow modules.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
Referring to Fig. 1, the present invention provides a kind of Website Optimize System based on user behavior analysis, user behavior should be based on
The Website Optimize System of analysis includes user interactive module 1, information reading module 2, message processing module 3, Information procession module
4th, information classification module 5, database 6, recommending module 7 and web information flow module 8；
The user interactive module 1 realizes that user carries out the website behavior operation of correlation on the internet, and the user hands over
Mutual module 1 is connected 2 with information reading module, and described information read module 2 reads the information of user's internet behavior, and realizes to net
The collection of upper behavioural information, described information read module 2 are connected with described information processing module 3, and mould is handled by described information
The internet behavior information being used for that block 3 is gathered to described information read module 2 is handled and analyzed, described information processing mould
Block 3 is connected with described information processing module 4, and information transfer to the described information after the processing of described information processing module 3 adds
Work module 4, described information processing module 4 carry out the extraction of keyword, described information processing module 4 and institute to the information after processing
Information classification module 5 to be stated to connect, information classification module 5 uses clustering algorithm, realizes the classification to information, and by sorted letter
Breath is stored to the database 6, and the database 6 is connected with the recommending module 7, and the recommending module 7 is calculated by recommending
Method, user's webpage interested is drawn, and webpage recommending is connected to user, the recommending module 7 with the web information flow module 8
Connect, the user that web information flow module 8 is recommended according to the recommending module 7 webpage interested, website is optimized.
Wherein, described information read module 2 realizes user's row using analysis web page storage folder, historical record and user behavior
For the reading of information, the user behavior is browsing the operation of webpage including user, including prints, preserves, edits and replicate, institute
Information procession module 4 is stated by being processed to the web page contents that user browses, realizes and web page contents is extracted, in extraction
Appearance includes keyword, content and title, and described information sort module 5 is after the key content of extraction, by Weight algorithm, to spy
Fixed content assigns weight, and the classification of content is then carried out by clustering algorithm.
The present invention also provides a kind of optimization method of the website based on user behavior analysis, should be based on user behavior analysis
The optimization method of website comprises the following steps：
S1：Information gathering：The internet behavior information of user is gathered by information reading module 2；
S2：Information processing：Row information is entered by message processing module 3, Information procession module 4 and information assigning module 5
Processing, processing and classification；
S3：Web information flow：Recommending module 7 draws user's webpage interested, web information flow module 8 by proposed algorithm
The optimization to website is carried out according to user's webpage interested.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of changes, modification can be carried out to these embodiments, replace without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (5)
- A kind of 1. Website Optimize System based on user behavior analysis, it is characterised in that：The website based on user behavior analysis Optimization system include user interactive module (1), information reading module (2), message processing module (3), Information procession module (4), Information classification module (5), database (6), recommending module (7) and web information flow module (8)；The user interactive module (1) realizes that user carries out the website behavior operation of correlation, the user mutual on the internet Module (1) is connected (2) with information reading module, and described information read module (2) reads the information of user's internet behavior, and realizes Collection to internet behavior information, described information read module (2) are connected with described information processing module (3), pass through the letter The internet behavior information being used for that breath processing module (3) is gathered to described information read module (2) is handled and analyzed, institute State message processing module (3) to be connected with described information processing module (4), the letter after described information processing module (3) processing Breath transmits to described information processing module (4), described information processing module (4) and carries out carrying for keyword to the information after processing Taking, described information processing module (4) is connected with described information sort module (5), and information classification module (5) uses clustering algorithm, The classification to information is realized, and sorted information is stored to the database (6), the database (6) pushes away with described Module (7) connection is recommended, the recommending module (7) draws user's webpage interested, and webpage recommending is given by proposed algorithm User, the recommending module (7) are connected with the web information flow module (8), and web information flow module (8) is according to the recommending module (7) user of recommendation webpage interested, is optimized to website.
- A kind of 2. Website Optimize System based on user behavior analysis according to claim 1, it is characterised in that：The letter Breath read module (2) realizes the reading of user behavior information using analysis web page storage folder, historical record and user behavior, described User behavior is browsing the operation of webpage including user, including prints, preserves, edits and replicate.
- A kind of 3. Website Optimize System based on user behavior analysis according to claim 1, it is characterised in that：The letter Breath processing module (4) is realized and web page contents is extracted, extract content by being processed to the web page contents that user browses Including keyword, content and title.
- A kind of 4. Website Optimize System based on user behavior analysis according to claim 1, it is characterised in that：The letter Sort module (5) is ceased after the key content of extraction, by Weight algorithm, weight is assigned to specific content, then by poly- Class algorithm carries out the classification of content.
- A kind of 5. optimization method of the website based on user behavior analysis, it is characterised in that：The net based on user behavior analysis The optimization method stood comprises the following steps：S1：Information gathering：The internet behavior information of user is gathered by information reading module (2)；S2：Information processing：Row information is entered by message processing module (3), Information procession module (4) and information assigning module (5) Processing, processing and classification；S3：Web information flow：Recommending module (7) draws user's webpage interested, web information flow module (8) by proposed algorithm The optimization to website is carried out according to user's webpage interested.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710907947.4A CN107679170A (en) | 2017-09-29 | 2017-09-29 | A kind of web information flow method and system based on user behavior analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710907947.4A CN107679170A (en) | 2017-09-29 | 2017-09-29 | A kind of web information flow method and system based on user behavior analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107679170A true CN107679170A (en) | 2018-02-09 |
Family
ID=61139297
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710907947.4A Pending CN107679170A (en) | 2017-09-29 | 2017-09-29 | A kind of web information flow method and system based on user behavior analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107679170A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102289447A (en) * | 2011-06-16 | 2011-12-21 | 北京亿赞普网络技术有限公司 | Website webpage evaluation system based on communication network message |
| CN103744941A (en) * | 2013-12-31 | 2014-04-23 | 北京百度网讯科技有限公司 | Method and device for determining website evaluation result based on website attribute information |
| CN104239346A (en) * | 2013-06-21 | 2014-12-24 | 镇江新晔网络科技有限公司 | Search engine based website optimal construction system |
| CN106202482A (en) * | 2016-07-18 | 2016-12-07 | 浪潮(北京)电子信息产业有限公司 | A kind of web information flow method and system based on user behavior analysis |
| CN106446059A (en) * | 2016-09-02 | 2017-02-22 | 广东聚联电子商务股份有限公司 | Big data-based page customization method |
| CN106599299A (en) * | 2016-12-28 | 2017-04-26 | 北京奇虎科技有限公司 | Determining method and device of website key words |
| US9667733B2 (en) * | 2015-03-04 | 2017-05-30 | Adobe Systems Incorporated | Determining relevant content for keyword extraction |
-
2017
- 2017-09-29 CN CN201710907947.4A patent/CN107679170A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102289447A (en) * | 2011-06-16 | 2011-12-21 | 北京亿赞普网络技术有限公司 | Website webpage evaluation system based on communication network message |
| CN104239346A (en) * | 2013-06-21 | 2014-12-24 | 镇江新晔网络科技有限公司 | Search engine based website optimal construction system |
| CN103744941A (en) * | 2013-12-31 | 2014-04-23 | 北京百度网讯科技有限公司 | Method and device for determining website evaluation result based on website attribute information |
| US9667733B2 (en) * | 2015-03-04 | 2017-05-30 | Adobe Systems Incorporated | Determining relevant content for keyword extraction |
| CN106202482A (en) * | 2016-07-18 | 2016-12-07 | 浪潮(北京)电子信息产业有限公司 | A kind of web information flow method and system based on user behavior analysis |
| CN106446059A (en) * | 2016-09-02 | 2017-02-22 | 广东聚联电子商务股份有限公司 | Big data-based page customization method |
| CN106599299A (en) * | 2016-12-28 | 2017-04-26 | 北京奇虎科技有限公司 | Determining method and device of website key words |
Non-Patent Citations (1)
| Title |
|---|
| 皮国强等: "Web日志挖掘在网站优化中的应用", 《软件导刊》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101246499B (en) | Network information search method and system | |
| CN101908071B (en) | Method and device thereof for improving search efficiency of search engine | |
| CN101593200B (en) | Method for classifying Chinese webpages based on keyword frequency analysis | |
| CN101079064B (en) | Web page sequencing method and device | |
| CN104077377B (en) | Network public-opinion focus based on web documents attribute finds method and apparatus | |
| CN103226578B (en) | Towards the website identification of medical domain and the method for webpage disaggregated classification | |
| CN111708740A (en) | Mass search query log calculation analysis system based on cloud platform | |
| CN104063497B (en) | Viewpoint treating method and apparatus and searching method and device | |
| CN101261629A (en) | Specific information searching method based on automatic classification technology | |
| CN101388022B (en) | Web portrait search method for fusing text semantic and vision content | |
| CN103699700B (en) | A kind of generation method of search index, system and associated server | |
| CN104008106B (en) | A kind of method and device obtaining much-talked-about topic | |
| CN102004782A (en) | Search result sequencing method and search result sequencer | |
| CN101441636A (en) | Hospital information search engine and system based on knowledge base | |
| CN101477554A (en) | User interest based personalized meta search engine and search result processing method | |
| CN102831234A (en) | Personalized news recommendation device and method based on news content and theme feature | |
| CN102270331A (en) | Network shopping navigating method based on visual search | |
| CN107885793A (en) | A kind of hot microblog topic analyzing and predicting method and system | |
| CN101196898A (en) | Method for applying phrase index technology into internet search engine | |
| CN102831199A (en) | Method and device for establishing interest model | |
| CN109918563A (en) | A method of the book recommendation based on public data | |
| CN104035927A (en) | User behavior-based search method and system | |
| CN103955529A (en) | Internet information searching and aggregating presentation method | |
| CN105447186A (en) | Big data platform based user behavior analysis system | |
| CN102063453A (en) | Method and device for searching based on demands of user |
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: 20180209 |