CN106874494A - A kind of front end exhibiting method for being applied to visitor's preference analysis - Google Patents
A kind of front end exhibiting method for being applied to visitor's preference analysis Download PDFInfo
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- CN106874494A CN106874494A CN201710099864.7A CN201710099864A CN106874494A CN 106874494 A CN106874494 A CN 106874494A CN 201710099864 A CN201710099864 A CN 201710099864A CN 106874494 A CN106874494 A CN 106874494A
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- 238000004458 analytical method Methods 0.000 title claims abstract description 35
- 238000000034 method Methods 0.000 title claims abstract description 14
- 230000001747 exhibiting effect Effects 0.000 title claims abstract description 6
- 238000005516 engineering process Methods 0.000 claims abstract description 7
- 238000010225 co-occurrence analysis Methods 0.000 claims abstract description 6
- 230000000694 effects Effects 0.000 claims description 5
- 241000270322 Lepidosauria Species 0.000 claims description 3
- 239000011159 matrix material Substances 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013079 data visualisation Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
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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
- G06F16/951—Indexing; Web crawling techniques
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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
- G06F16/335—Filtering based on additional data, e.g. user or group profiles
- G06F16/337—Profile generation, learning or modification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
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- 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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/14—Travel agencies
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Abstract
The present invention provides a kind of front end exhibiting method for being applied to visitor's preference analysis, belongs to business model analysis presentation field, is captured to visitor's travel notes and from media information with crawler technology or reptile software first；The text message for capturing is arranged afterwards, is numbered；Then text is analyzed with method of semantic differential with Content Analysis Method, and sets up content of text storehouse；Visitor's preference is analyzed with analysis methods such as Co-occurrence Analysis, correspondence analysis；Finally using echarts, the d3.js based on svg, the vue.js coalition frameworks based on MVVM based on canvas, and packed using webpack instruments, analysis result is shown in real time.
Description
Technical field
The present invention relates to business model analysis presentation field, more particularly to a kind of front end side of representing for being applied to visitor's preference analysis
Method.
Background technology
With the development of mobile Internet, html5 can unify the browser of mobile terminal and desktop, or even manufacture is respectively
Plant native applications.Data visualization tool based on canvas and svg is the best mode of display data analysis result.Web is marked
Standard focuses on security with being designed from the beginning, it is impossible to operate local resource；Traditional flash is local program, can be with
Freely transfer local resource, it is possible to which realization much needs to expend the effect of a large amount of local resources.HTML5 is then from browsing
Device standard one-level, it is desirable to which browser can call these local resources.Functionally, web applications will increasingly as built-in application.
HTML5 canvas have corresponding JS storehouses, and echarts is a domestic class libraries of canvas initiated by Baidu front end.
This echarts is in fact the theme picture library done on the basis of canvas class libraries zrender, and advantage has data-driven, legend
It is abundant, it is powerful, support that data pull the functions such as re-computation, data area roaming.D3.js is an open source projects, is based on
Svg labels, can draw Bezier with flexible operating DOM structure, with powerful diagrammatic representation function, and local curvature shows
Accurate effect attractive in appearance can be shown during the complex figures such as work property level, polar coordinates.
Front end frame Vue.js based on MVVM patterns is compared to traditional js storehouses, it is possible to achieve with data-driven, view
With data double-way binding, light weight, efficient display data analysis result.
The content of the invention
The present invention proposes a kind of front end exhibiting method for being applied to visitor's preference analysis.Mainly for relevant departments develop
Travelling products, formulate precision marketing strategy and provide data supporting：It is analyzed by Market of The Tourists visitor's preference, and is finally led to
Cross effect direct, attractive in appearance to show, enable relevant departments more directly perceived when being analyzed to Source market visitor.
Front end of the invention uses echarts, the d3.js based on svg based on canvas, the vue.js connection based on MVVM
Close framework.And packed using webpack instruments, unified resource management, displaying data in real-time analysis result.
The technical scheme is that：
A kind of front end exhibiting method for being applied to visitor's preference analysis,
It is analyzed by Market of The Tourists visitor's preference, carrying out front end to analysis result represents；Using based on canvas's
Echarts, the d3.js based on svg, the vue.js coalition frameworks based on MVVM, are processed according to crawl data, set up visitor
Preference criteria, is analyzed to visitor's preference and most analysis result is shown by direct page effect at last.
Captured to visitor's travel notes and from media information with crawler technology or reptile software first；Afterwards to crawl
Text message is arranged, numbered；Then text is analyzed with method of semantic differential with Content Analysis Method, and sets up text
Content library；Visitor's preference is analyzed with Co-occurrence Analysis, corresponding analysis method；Finally use based on canvas
Echarts, the d3.js based on svg, the vue.js coalition frameworks based on MVVM, and packed using webpack instruments, it is real
When show analysis result.
Mainly comprise the following steps：
（1）Internet travel notes are captured with crawler technology or reptile software, reptile can capture js generation content and
Ajax information, the travel notes to capturing carry out sample selection, choose information completely, browse scope comprehensively, travel notes content is related to locally
Tourist market, clicking rate text high；
（2）Content of text in travel notes is corrected, invalid vocabulary is peeled off, expression is looked like, and consistent but form of presentation is different
Vocabulary carries out unified, and the content to statement error is corrected, and text is encoded, with the clicking rate of article, number of references
Amount, and the frequency of word is directed to vocabulary and article list generator matrix；
（3）Text is analyzed with method of semantic differential with Content Analysis Method, and sets up content of text storehouse, content of text storehouse from
Temporally dimension, social factor, Spatial Dimension, content dimension, five dimensions of psychological dimension are divided the angle of visitor；
（4）Visitor's preference is analyzed with Co-occurrence Analysis, corresponding analysis method；
（5）The application of results of visitor's preference analysis is based on the echarts of canvas, the d3.js based on svg, based on MVVM's
Vue.js coalition frameworks, and packed using webpack instruments, real-time exhibition.
The beneficial effects of the invention are as follows
By to analysis result directly it is attractive in appearance show, enable relevant departments when being analyzed to Source market visitor more
Intuitively.
Brief description of the drawings
Fig. 1 is operation flow schematic diagram of the invention.
Specific embodiment
More detailed elaboration is carried out to present disclosure below：
It is contemplated that visitor's preference analysis result is more intuitively showed.Visitor's preference analysis business diagnosis exhibition of the present invention
Existing step has：
（1）Internet travel notes are captured with crawler technology or reptile software, reptile can capture js generation content and
Ajax information, the travel notes to capturing carry out sample selection, choose information completely, browse scope comprehensively, travel notes content is related to locally
Tourist market, clicking rate text high；
（2）Content of text in travel notes is corrected, invalid vocabulary is peeled off, expression is looked like, and consistent but form of presentation is different
Vocabulary carries out unified, and the content to statement error is corrected, and text is encoded, with the clicking rate of article, number of references
Amount, and the frequency of word is directed to vocabulary and article list generator matrix；
（3）Text is analyzed with method of semantic differential with Content Analysis Method, and sets up content of text storehouse, content of text storehouse from
Temporally dimension, social factor, Spatial Dimension, content dimension, five dimensions of psychological dimension are divided the angle of visitor；
（4）Visitor's preference is analyzed with Co-occurrence Analysis, corresponding analysis method；
（5）The application of results of visitor's preference analysis is based on the echarts of canvas, the d3.js based on svg, based on MVVM's
Vue.js coalition frameworks, and packed using webpack instruments, real-time exhibition.
Claims (3)
1. a kind of front end exhibiting method for being applied to visitor's preference analysis, it is characterised in that
It is analyzed by Market of The Tourists visitor's preference, carrying out front end to analysis result represents；Using based on canvas's
Echarts, the d3.js based on svg, the vue.js coalition frameworks based on MVVM, are processed according to crawl data, set up visitor
Preference criteria, is analyzed to visitor's preference and most analysis result is shown by direct page effect at last.
2. method according to claim 1, it is characterised in that
Captured to visitor's travel notes and from media information with crawler technology or reptile software first；Afterwards to the text of crawl
Information is arranged, numbered；Then text is analyzed with method of semantic differential with Content Analysis Method, and sets up content of text
Storehouse；Visitor's preference is analyzed with Co-occurrence Analysis, corresponding analysis method；Finally use echarts, base based on canvas
D3.js in svg, the vue.js coalition frameworks based on MVVM, and packed using webpack instruments, display analysis in real time
As a result.
3. method according to claim 2, it is characterised in that
Mainly comprise the following steps：
（1）Internet travel notes are captured with crawler technology or reptile software, reptile can capture js generation content and
Ajax information, the travel notes to capturing carry out sample selection, choose information completely, browse scope comprehensively, travel notes content is related to locally
Tourist market, clicking rate text high；
（2）Content of text in travel notes is corrected, invalid vocabulary is peeled off, expression is looked like, and consistent but form of presentation is different
Vocabulary carries out unified, and the content to statement error is corrected, and text is encoded, with the clicking rate of article, number of references
Amount, and the frequency of word is directed to vocabulary and article list generator matrix；
（3）Text is analyzed with method of semantic differential with Content Analysis Method, and sets up content of text storehouse, content of text storehouse from
Temporally dimension, social factor, Spatial Dimension, content dimension, five dimensions of psychological dimension are divided the angle of visitor；
（4）Visitor's preference is analyzed with Co-occurrence Analysis, corresponding analysis method；
（5）The application of results of visitor's preference analysis is based on the echarts of canvas, the d3.js based on svg, based on MVVM's
Vue.js coalition frameworks, and packed using webpack instruments, real-time exhibition.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201710099864.7A CN106874494A (en) | 2017-02-23 | 2017-02-23 | A kind of front end exhibiting method for being applied to visitor's preference analysis |
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| CN201710099864.7A CN106874494A (en) | 2017-02-23 | 2017-02-23 | A kind of front end exhibiting method for being applied to visitor's preference analysis |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107506483A (en) * | 2017-09-15 | 2017-12-22 | 广州优视网络科技有限公司 | Page loading method, device, electronic equipment and storage medium |
| CN108038180A (en) * | 2017-12-07 | 2018-05-15 | 国网四川省电力公司信息通信公司 | The method that a kind of power supply region gathered data visualizes |
| CN108228753A (en) * | 2017-12-21 | 2018-06-29 | 国云科技股份有限公司 | A kind of Dynamic Display method of page end real time data |
| CN108416501A (en) * | 2018-01-31 | 2018-08-17 | 山东汇贸电子口岸有限公司 | A method of avoid tourist from complaining team based on marking evaluation |
| CN110032694A (en) * | 2019-03-04 | 2019-07-19 | 北京立思辰安科技术有限公司 | Form of general use control implementation method suitable for network auditing system |
| CN110781652A (en) * | 2019-09-27 | 2020-02-11 | 成都四方伟业软件股份有限公司 | Method and device for drawing particles and light effects on columnar chart |
| CN111428168A (en) * | 2020-03-18 | 2020-07-17 | 北京三维天地科技股份有限公司 | Browser front-end architecture system capable of being separately developed from rear-end architecture |
| CN113742432A (en) * | 2021-08-20 | 2021-12-03 | 广州市易工品科技有限公司 | Editable ER graph generation method and device |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107506483A (en) * | 2017-09-15 | 2017-12-22 | 广州优视网络科技有限公司 | Page loading method, device, electronic equipment and storage medium |
| CN108038180A (en) * | 2017-12-07 | 2018-05-15 | 国网四川省电力公司信息通信公司 | The method that a kind of power supply region gathered data visualizes |
| CN108228753A (en) * | 2017-12-21 | 2018-06-29 | 国云科技股份有限公司 | A kind of Dynamic Display method of page end real time data |
| CN108416501A (en) * | 2018-01-31 | 2018-08-17 | 山东汇贸电子口岸有限公司 | A method of avoid tourist from complaining team based on marking evaluation |
| CN110032694A (en) * | 2019-03-04 | 2019-07-19 | 北京立思辰安科技术有限公司 | Form of general use control implementation method suitable for network auditing system |
| CN110781652A (en) * | 2019-09-27 | 2020-02-11 | 成都四方伟业软件股份有限公司 | Method and device for drawing particles and light effects on columnar chart |
| CN111428168A (en) * | 2020-03-18 | 2020-07-17 | 北京三维天地科技股份有限公司 | Browser front-end architecture system capable of being separately developed from rear-end architecture |
| CN113742432A (en) * | 2021-08-20 | 2021-12-03 | 广州市易工品科技有限公司 | Editable ER graph generation method and device |
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Application publication date: 20170620 |
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