CN109684592A - A kind of data statistical analysis method and its system of website - Google Patents
A kind of data statistical analysis method and its system of website Download PDFInfo
- Publication number
- CN109684592A CN109684592A CN201910081304.8A CN201910081304A CN109684592A CN 109684592 A CN109684592 A CN 109684592A CN 201910081304 A CN201910081304 A CN 201910081304A CN 109684592 A CN109684592 A CN 109684592A
- Authority
- CN
- China
- Prior art keywords
- website
- module
- data
- page
- visitor
- 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
Abstract
The invention discloses a kind of data statistical analysis methods of website, include the following steps: step 1), dispose data probe in the webpage of website, for collecting data；Step 2, the data come to collection are extracted and are converted；Step 3) is summarized and forms visual assay surface；The step 2 includes the following steps: that a. is carried out the conversion and extraction of first layer by loader-formatter service module, generates Hive table and is stored in Hadoop cluster；B. the conversion that the second level is carried out using BDI business ETL script, generates the middle table that can be used directly to statistics；C. statistical result is written to MongoDB cluster by business statistics script, checks report for data statistics platform；The present invention collects data by disposing data probe in webpage, using, many and diverse treatment process such as clean, convert, summarize, flexibly easy-to-use visual analyzing interface is presented in front end, helps client to understand the traffic-operating period of website, provides data for lean operation and support.
Description
Technical field
The invention belongs to the data statistic analysis technical field of website, specially a kind of data statistical analysis method of website
And its system.
Background technique
Nowadays it is no longer fresh for people to build a website web, it is small to personal blog, greatly to an electricity
Sub- business platform, miscellaneous website are closely related with our life.For general user, the category of website
Property be exactly tool, user, which comes website and website and generates, interact the thing oneself to be done of completion, for website owner, how
It allows user to understand the website of oneself, is ready the thing to be done of completion coming website and being in a cheerful frame of mind, be one be not so simple
Thing；The remarkable thing of this part is exactly the website operation that we frequently refer to, and nowadays digitization fining website operation has been
The basis of website operation is carried out, website operation will accomplish to refine the data with regard to needing to refine as support.
Summary of the invention
It is an object of the invention to: the data statistic analysis in order to solve the problems, such as website is not fine and accurate, provides one
The data statistical analysis method and its system of kind website.
The technical solution adopted by the invention is as follows:
A kind of data statistical analysis method of website, includes the following steps:
Step 1) disposes data probe in the webpage of website, for collecting data；
Step 2, the data come to collection are extracted and are converted；
Step 3) is summarized and forms visual assay surface.
Preferably, the step 2 includes the following steps:
A. the conversion and extraction that first layer is carried out by loader-formatter service module generate Hive table and are stored in
In Hadoop cluster；
B. the conversion that the second level is carried out using BDI business ETL script, generates the middle table that can be used directly to statistics；
C. statistical result is written to MongoDB cluster by business statistics script, checks report for data statistics platform.
Preferably, collected user data is sent message queue kafka by data probe first in the step 2
And BDI business is allowed to be consumed.
A kind of data statistic analysis system of website, including profile web module, flow analysis module, page analysis mould
Block, source analysis module, visitor's analysis module and custom analysis module.
Preferably, the profile web module provides the whole traffic-operating period of website by " one-page ", including emphasis refers to
Mark, traffic trends, visitor source and interior hot spot of standing, show the core data of website.
Preferably, the flow analysis module includes real-time visitor's module and website trend module, real-time visitor's mould
Block provides the situation of change and nearest 500 guest access details of nearest 30 minutes website traffics, including visits source, access
The details of track, region and system environments；The website trend module provides each index in website in the selected period
Trend situation and data details, and comparison in different time periods is provided and is checked.
Preferably, the page analysis module includes interviewed page module, portal page module and page client module；Institute
It states interviewed page module and provides visitor to the access situation of each page in your website, PV between the page at the same level based on hierarchical classification,
It UV, stay time and exits the comparison of different indexs of rate and finds problem entrance faster for measuring page value to optimize
Content of pages；The portal page module provides first page of guest access website, passes through access times, visitor's number and IP
Several pairs of flows are analyzed, and the flow of the analysis page pair accepts ability；And when by contributing pageview, jumping out rate, average access
Long and average access number of pages analyzes page attraction, and the page client module includes link clicks figure, link clicks
Figure record page internal chaining in real time is clicked situation, channel navigation button, article title connection, in time according to click condition pair
Content of pages adjusts；Thermodynamic chart: all mouses click the position of behavior in the record page, and distinguish not same district by color
The click temperature in domain, for understanding whether Website page design rationally optimizes webpage design in turn according to different temperatures.
Preferably, the source analysis module includes source distribution module, search engine module and external linkage module, institute
The distribution situation in website traffic source is stated, including is directly accessed, search engine and external linkage, for understanding each sources
Flow accounting and each index detailed data, so as to reasonable planning network extension programme；Described search engine modules provide each
The flow accounting of a search engine and each index detailed data, for understanding SEO, SEM effect of website；The external linkage
Module provides non-search meet and asks website bring flow distribution situation, asks website bring flow for understanding each non-search meet
Accounting and flow mass.
Preferably, visitor's analysis module includes the old and new visitor's module, Regional Distribution module, system environments module and loyalty
Really degree analysis module；The visitor for accessing your website in the old and new visitor's module for the first time in history is denoted as new visitor, new visitor
The mode of website is either accessed with old visitor or browsing behavior often has differences, for understanding the row of different visitors in station
For difference；The Regional Distribution module provides each department to your website bring visitor's number accounting and traffic conditions, for understanding
The distribution of site visitor；The system environments module provides the configuring condition of system terminal used in site visitor, for joining
It examines this data and carries out webpage design, exploitation, improve compatible Website；The loyalty analysis module provides visitor in website
Number of pages, depth, duration and frequency situation are accessed, for understanding the viscosity of website and the loyalty and liveness of visitor.
Preferably, the custom analysis module includes conversion pathway module and event tracking module, the conversion pathway mould
Root tuber according to different business scene setting conversion pathway, check the entrance of the every step in path and do not enter number by passage path funnel data
According to；The event tracking module is used for event analysis, and the service condition for counting button element on the page, the button member
Element includes being unfolded, pack up, buy, collect and scoring, and individually disposes event tracking code, and provide the data specific to single event
Statistics, event are shown as " event title/classification/operation/label/value ", are joined according to event title or classification or operation or label
It closes search and checks event data, be used for from each dimensional analysis event data.
In conclusion by adopting the above-described technical solution, the beneficial effects of the present invention are:
1. the data statistic analysis system of website in the present invention, whole personal service, whole process provide Butler-type service, consulting is cared for
It asks and combs business scenario and data analysis requirements together with you；2. what is got deeply involved in business sees clearly, various dimensions content analysis: hierarchical classification
Content flow analysis analyzed instead of simple URL；Product front end shows page title, and it is clear, direct, efficient to bring you
Product Experience；It is counted based on same page data normalization, brings you more accurate page data on flows；Object is analyzed from whole
The page of standing arrives details page from top to bottom, allow you temperature, in terms of index comparison it is more valuable, faster positioning ask
Entrance is inscribed, and the specific page is positioned by relevant issues chain；3. the comprehensive diagnosis of page doctor: page doctor pays close attention to for you
The emphasis page carrys out primary comprehensive diagnosis, and link clicks figure provides the detailed of the data such as real-time full page link clicks, trend
Analysis, click behavior of the thermodynamic chart counting user in the page draw the page and click hotspot's distribution figure.Help you in webpage cloth
The decision of office, article sequence, ad placement etc. provides science strong data supporting；4. careful comprehensive flow point
Analysis: it is captured again to the data whole process of eventually off website from user access track in channel source to subscriber station of entering the station, this is
The data on flows of column all can be on record by detailed collection comprehensively.Help your websites such as content optimization in daily channel promotion, standing
Accomplish to know yourself as well as the enemy in operation to devise strategies at the headquarters；5. scientific and efficient custom analysis: conversion pathway can be according to different business field
Scape flexible configuration provides the changing effect of each node, you is helped to optimize flow of task and path node；Event tracking is in tradition
It joined event defined parameters more abundant on the event analysis function of definition, each different parameters support any combination
Inquiry.Help you are comprehensive flexibly clearly to check event data；6. application scenarios are extensive, panorama flow is seen clearly, and carrys out source distribution
It shows each canal capacity situation, understands website SEO and external site promotion effect in time to adjust network promotion scheme；It is logical
It crosses page analysis and understands website traffic landing point and focus point, analyze distribution situation in stream gauging station, optimization web site contents, which are promoted, to be used
Family viscosity；The microcosmic data on flows such as single guest access details, special event and page flow monitoring assist hidden problem discovery with
It solves, refines flow analysis latitude；In conjunction with website panorama flow can be controlled in real time above；7. user experience optimizes, homepage of standing column
Table page cooperates page doctor to use, and monitors page Hot Contents and hot-zone, adjusts content of pages layout and page based on the analysis results
Face design, promotes the effective clicking rate of the page；It is that it is simultaneous to optimize website with reference to webpage development is carried out with user system environment distributed data
Capacitive promotes website friendliness；Key task stream does path analysis in the stations such as registration, purchase, makes to problem process and node
Adjustment reduces customer using cost, promotes task flow conversion ratio.Website development, optimization web site contents and friendship are carried out in conjunction with above
Mutually design, to promote website user's experience；8. get deeply involved in business analysis；System supports various businesses contextual data point in the present invention
Analysis, including media hotspot tracking, electric business transaction transformation assay, the monitoring of the emphasis page, particular service event tracking, visitor's preference are saturating
Depending on etc., it allows data analysis to get deeply involved in business, business Ordered and Healthy is assisted to carry out.
Detailed description of the invention
Fig. 1 is the block architecture diagram of data statistic analysis system in the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention.
A kind of data statistic analysis system of website, including profile web module, flow analysis module, page analysis mould
Block, source analysis module, visitor's analysis module and custom analysis module.
The profile web module provides the whole traffic-operating period of website, including emphasis index, flow by " one-page "
Trend, visitor source and interior hot spot of standing, show the core data of website.
The flow analysis module includes real-time visitor's module and website trend module, and real-time visitor's module provides most
The situation of change of nearly 30 minutes website traffics and nearest 500 guest access details, including visit source, access track,
The details in domain and system environments；The website trend module provides the trend situation of each index in website in the selected period
And data details, and comparison in different time periods is provided and is checked.
The page analysis module includes interviewed page module, portal page module and page client module；It is described interviewed
Page module provides visitor to the access situation of each page in your website, PV, UV between the page at the same level based on hierarchical classification, stops
The comparison for the different indexs stayed duration and exit rate finds problem entrance faster for measuring page value to optimize the page
Content；The portal page module provides first page of guest access website, passes through access times, visitor's number and IP number
Flow is analyzed, the flow of the analysis page pair accepts ability；And by contributing pageview, jumping out rate, average access duration
Page attraction is analyzed with average access number of pages, the page client module includes link clicks figure, link clicks figure
Record page internal chaining in real time is clicked situation, channel navigation button, article title connection, in time according to click condition to page
Face content adjusts；Thermodynamic chart: all mouses click the position of behavior in the record page, and distinguish different zones by color
Click temperature, for according to different temperatures understand Website page design whether rationally so that optimize webpage design.
The source analysis module includes source distribution module, search engine module and external linkage module, the website
The distribution situation of traffic source, including directly access, search engine and external linkage, for understanding the flow of each sources
Accounting and each index detailed data, so as to reasonable planning network extension programme；Described search engine modules provide each search
The flow accounting of engine and each index detailed data, for understanding SEO, SEM effect of website；The external linkage module mentions
Ask website bring flow distribution situation for non-search meet, for understand it is each it is non-search meet ask website bring flow accounting and
Flow mass.
Visitor's analysis module includes the old and new visitor's module, Regional Distribution module, system environments module and loyalty point
Analyse module；The visitor for accessing your website in the old and new visitor's module for the first time in history is denoted as new visitor, new visitor and old visit
Visitor either accesses the mode of website or browsing behavior often has differences, and the behavior for understanding different visitors in station is poor
It is different；The Regional Distribution module provides each department to your website bring visitor's number accounting and traffic conditions, for understanding website
The distribution of visitor；The system environments module provides the configuring condition of system terminal used in site visitor, for referring to this
Data carry out webpage design, exploitation, improve compatible Website；The loyalty analysis module provides the access of visitor in website
Number of pages, depth, duration and frequency situation, for understanding the viscosity of website and the loyalty and liveness of visitor.
The custom analysis module includes conversion pathway module and event tracking module, and the conversion pathway module is not according to
With business scene setting conversion pathway, passage path funnel data check the entrance of the every step in path and do not enter data；The thing
Part tracking module is used for event analysis, and the service condition for counting button element on the page, and the button element includes exhibition
It opens, pack up, buy, collect and scores, individually dispose event tracking code, and provide the data statistics specific to single event, thing
Part is shown as " event title/classification/operation/label/value ", is looked into according to event title or classification or operation or label Syndicating search
It sees event data, is used for from each dimensional analysis event data.
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 (10)
1. a kind of data statistical analysis method of website, characterized by the following steps:
Step 1) disposes data probe in the webpage of website, for collecting data；
Step 2, the data come to collection are extracted and are converted；
Step 3) is summarized and forms visual assay surface.
2. a kind of data statistical analysis method of website as described in claim 1, it is characterised in that: the step 2 includes such as
Lower step:
The conversion and extraction of first layer are carried out by loader-formatter service module, are generated Hive table and are stored in
In Hadoop cluster；
The conversion of the second level is carried out using BDI business ETL script, generates the middle table that can be used directly to statistics；
Statistical result is written to MongoDB cluster by business statistics script, checks report for data statistics platform.
3. a kind of data statistical analysis method of website as described in claim 1, it is characterised in that: in the step 2 first
Data probe sends message queue kafka for collected user data and BDI business is allowed to consume.
4. a kind of data statistic analysis system of website, it is characterised in that: including profile web module, flow analysis module, page
Surface analysis module, source analysis module, visitor's analysis module and custom analysis module.
5. a kind of data statistic analysis system of website as claimed in claim 4, it is characterised in that: the profile web module
The whole traffic-operating period of website, including emphasis index, traffic trends, visitor source and interior hot spot of standing are provided by " one-page ",
Show the core data of website.
6. a kind of data statistic analysis system of website as claimed in claim 4, it is characterised in that: the flow analysis module
Including real-time visitor's module and website trend module, real-time visitor's module provides the variation feelings of nearest 30 minutes website traffics
Condition and nearest 500 guest access details, the details including visiting source, access track, region and system environments；Institute
It states website trend module and the trend situation and data details of each index in website in the selected period is provided, and different time is provided
The comparison of section is checked.
7. a kind of data statistic analysis system of website as claimed in claim 4, it is characterised in that: the page analysis module
Including interviewed page module, portal page module and page client module；The interviewed page module provides visitor to your website
The access situation of each page, PV, UV, stay time and the different indexs for exiting rate between the page at the same level based on hierarchical classification
Comparison find problem entrance faster for measuring page value to optimize content of pages；The portal page module provides
First page of guest access website, analyzes flow by access times, visitor's number and IP number, analyzes the page pair
Flow accept ability；And by contributing pageview, jumping out rate, average access duration and average access number of pages to page attraction
It is analyzed, the page client module includes link clicks figure, and link clicks figure records being clicked for page internal chaining in real time
Situation, channel navigation button, article title connection, in time adjusts content of pages according to click condition；Thermodynamic chart: record
All mouses click the position of behavior in the page, and the click temperature of different zones is distinguished by color, for according to different heat
Degree understands whether Website page design rationally optimizes webpage design in turn.
8. a kind of data statistic analysis system of website as claimed in claim 4, it is characterised in that: the source analysis module
Including source distribution module, search engine module and external linkage module, the distribution situation in the website traffic source, including it is straight
Receiving asks, search engine and external linkage, for understand each sources flow accounting and each index detailed data, so as to
Reasonable planning network extension programme；Described search engine modules provide the flow accounting and each index detail of each search engine
Data, for understanding SEO, SEM effect of website；The external linkage module provides non-search meet and asks website bring flow
Distribution situation asks website bring flow accounting and flow mass for understanding each non-search meet.
9. a kind of data statistic analysis system of website as claimed in claim 4, it is characterised in that: visitor's analysis module
Including the old and new visitor's module, Regional Distribution module, system environments module and loyalty analysis module；In the old and new visitor's module
The visitor for accessing your website for the first time in history is denoted as new visitor, and new visitor and old visitor either access the mode of website still
Browsing behavior often has differences, for understanding the behavioral difference of different visitors in station；The Regional Distribution module provides various regions
Area is to your website bring visitor's number accounting and traffic conditions, for understanding the distribution of site visitor；The system environments module
The configuring condition of system terminal used in site visitor is provided, for carrying out webpage design, exploitation with reference to this data, is improved
Compatible Website；The loyalty analysis module provides access number of pages, depth, duration and the frequency situation of visitor in website, uses
In the loyalty and liveness of the viscosity and visitor for understanding website.
10. a kind of data statistic analysis system of website as claimed in claim 4, it is characterised in that: the custom analysis mould
Block includes conversion pathway module and event tracking module, and the conversion pathway module converts road according to different business scene setting
Diameter, passage path funnel data check the entrance of the every step in path and do not enter data；The event tracking module is for event point
Analysis, and the service condition for counting button element on the page, the button element include being unfolded, pack up, buy, collect and commenting
Point, event tracking code is individually disposed, and provide the data statistics specific to single event, event is shown as " event title/class
Not/operation/label/value ", checks event data according to event title or classification or operation or label Syndicating search, is used for from each
A dimensional analysis event data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910081304.8A CN109684592A (en) | 2019-01-28 | 2019-01-28 | A kind of data statistical analysis method and its system of website |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910081304.8A CN109684592A (en) | 2019-01-28 | 2019-01-28 | A kind of data statistical analysis method and its system of website |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109684592A true CN109684592A (en) | 2019-04-26 |
Family
ID=66194018
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910081304.8A Pending CN109684592A (en) | 2019-01-28 | 2019-01-28 | A kind of data statistical analysis method and its system of website |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109684592A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110119415A (en) * | 2019-05-13 | 2019-08-13 | 重庆八戒传媒有限公司 | Data analysing method, system, medium and the electronic equipment launched based on channel |
| CN110490638A (en) * | 2019-07-19 | 2019-11-22 | 厦门网宿有限公司 | A kind of click event stochastic method and system |
| CN110597702A (en) * | 2019-09-20 | 2019-12-20 | 云南财经大学 | User behavior analysis system, method and medium |
| CN111127100A (en) * | 2019-12-24 | 2020-05-08 | 苏州万豪信息技术有限公司 | Data analysis method for electronic commerce operation |
| CN112395352A (en) * | 2020-12-23 | 2021-02-23 | 杉宝(济南)生物科技有限公司 | User behavior trajectory data analysis system |
| CN113407858A (en) * | 2021-08-20 | 2021-09-17 | 明品云(北京)数据科技有限公司 | Information push method, system, medium and electronic device |
| CN114528519A (en) * | 2022-04-22 | 2022-05-24 | 深圳市云波网络科技有限公司 | Enterprise website construction information display management system based on big data |
| WO2023050931A1 (en) * | 2021-09-28 | 2023-04-06 | 深圳前海微众银行股份有限公司 | Event analysis method and device, and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20140054480A (en) * | 2012-10-26 | 2014-05-09 | 이성진 | System and method for real time monitoring of website usability |
| CN104869009A (en) * | 2014-06-16 | 2015-08-26 | 青岛新闻网络传播有限公司 | Website data statistics system and method |
| CN106209512A (en) * | 2016-07-11 | 2016-12-07 | 乐视控股（北京）有限公司 | A kind of method and device of report of user behavioral data |
| CN106227832A (en) * | 2016-07-26 | 2016-12-14 | 浪潮软件股份有限公司 | The Internet big data technique framework application process in operational analysis in enterprise |
| CN108416057A (en) * | 2018-03-21 | 2018-08-17 | 上海精鲲计算机科技有限公司 | A kind of website behavior analysis system |
-
2019
- 2019-01-28 CN CN201910081304.8A patent/CN109684592A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20140054480A (en) * | 2012-10-26 | 2014-05-09 | 이성진 | System and method for real time monitoring of website usability |
| CN104869009A (en) * | 2014-06-16 | 2015-08-26 | 青岛新闻网络传播有限公司 | Website data statistics system and method |
| CN106209512A (en) * | 2016-07-11 | 2016-12-07 | 乐视控股（北京）有限公司 | A kind of method and device of report of user behavioral data |
| CN106227832A (en) * | 2016-07-26 | 2016-12-14 | 浪潮软件股份有限公司 | The Internet big data technique framework application process in operational analysis in enterprise |
| CN108416057A (en) * | 2018-03-21 | 2018-08-17 | 上海精鲲计算机科技有限公司 | A kind of website behavior analysis system |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110119415A (en) * | 2019-05-13 | 2019-08-13 | 重庆八戒传媒有限公司 | Data analysing method, system, medium and the electronic equipment launched based on channel |
| CN110119415B (en) * | 2019-05-13 | 2020-05-15 | 重庆八戒传媒有限公司 | Data analysis method, system, medium and electronic device based on channel delivery |
| CN110490638A (en) * | 2019-07-19 | 2019-11-22 | 厦门网宿有限公司 | A kind of click event stochastic method and system |
| CN110597702A (en) * | 2019-09-20 | 2019-12-20 | 云南财经大学 | User behavior analysis system, method and medium |
| CN111127100A (en) * | 2019-12-24 | 2020-05-08 | 苏州万豪信息技术有限公司 | Data analysis method for electronic commerce operation |
| CN112395352A (en) * | 2020-12-23 | 2021-02-23 | 杉宝(济南)生物科技有限公司 | User behavior trajectory data analysis system |
| CN113407858A (en) * | 2021-08-20 | 2021-09-17 | 明品云(北京)数据科技有限公司 | Information push method, system, medium and electronic device |
| WO2023050931A1 (en) * | 2021-09-28 | 2023-04-06 | 深圳前海微众银行股份有限公司 | Event analysis method and device, and storage medium |
| CN114528519A (en) * | 2022-04-22 | 2022-05-24 | 深圳市云波网络科技有限公司 | Enterprise website construction information display management system based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109684592A (en) | A kind of data statistical analysis method and its system of website | |
| US6934687B1 (en) | Computer architecture and method for supporting and analyzing electronic commerce over the world wide web for commerce service providers and/or internet service providers | |
| CN103218431B (en) | A kind ofly can identify the system that info web gathers automatically | |
| Ortiz‐Cordova et al. | Classifying web search queries to identify high revenue generating customers | |
| US6151584A (en) | Computer architecture and method for validating and collecting and metadata and data about the internet and electronic commerce environments (data discoverer) | |
| US6151601A (en) | Computer architecture and method for collecting, analyzing and/or transforming internet and/or electronic commerce data for storage into a data storage area | |
| CN101513015B (en) | Targeted electronic content delivery control systems and methods | |
| US6128624A (en) | Collection and integration of internet and electronic commerce data in a database during web browsing | |
| CN102254265A (en) | Rich media internet advertisement content matching and effect evaluation method | |
| US20100313009A1 (en) | System and method to enable tracking of consumer behavior and activity | |
| US20030128231A1 (en) | Dynamic path analysis | |
| JP2012113744A (en) | Enterprise web mining system and method | |
| TW201513019A (en) | Method and system for extracting user behavior features to personalize recommendations | |
| CN101226550A (en) | Method and system for processing electric bank website client action and information | |
| JP2013503391A (en) | Information matching method and system on electronic commerce website | |
| CN107103062A (en) | A kind of webpage recommending method and system | |
| CN101025815A (en) | Advertising system using personal website and method of generating profit | |
| Adnan et al. | Promoting where, when and what? An analysis of web logs by integrating data mining and social network techniques to guide ecommerce business promotions | |
| Hwang et al. | A data-driven design framework for customer service chatbot | |
| KR100901960B1 (en) | Method and system for providing url possible new advertising | |
| Wang et al. | Big data in telecommunication operators: data, platform and practices | |
| KR20080007024A (en) | System and method for individual and local custom-made type advertisement service | |
| Mamei et al. | Analysis of tourist classification from cellular network data | |
| CN103684856A (en) | Video website infrastructure measurement and analysis method | |
| KR102612002B1 (en) | System for providing advertisement platform service using public transportation |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190426 |