CN102541892A - Method for recording and analyzing user behavior characteristic - Google Patents
Method for recording and analyzing user behavior characteristic Download PDFInfo
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- CN102541892A CN102541892A CN2010106000613A CN201010600061A CN102541892A CN 102541892 A CN102541892 A CN 102541892A CN 2010106000613 A CN2010106000613 A CN 2010106000613A CN 201010600061 A CN201010600061 A CN 201010600061A CN 102541892 A CN102541892 A CN 102541892A
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Abstract
The invention discloses a method for recording and analyzing a user behavior characteristic. The method comprises the following steps of: aiming at the Internet website, analyzing a network user behavior according to access and in-station operation on an Internet website by a network user; extracting a use preference of the user; and thus obtaining the user behavior characteristic.
Description
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Technical field
The present invention relates in the use of a kind of internet the method for record and analysis user behavioural characteristic, belong to field of computer technology.
Background technology
At present, website user's behavioural analysis remains the science of an emerging development, and its method and practice are in Systems Theoryization just in recent years.Website user's behavioural analysis can provide foundation for formulating net marketing strategy, obtain bigger commercial interest; In practical application, we pay close attention to emphatically: website user's behavioural analysis can bring which commercial value, which user behavior be merit attention, website user's behavioural analysis be how subsidiary products operation and Marketing Analysis, can to our which kind of enlightenment.
The website is the system of a solid, passes by from a different perspective, and that obtain is different results, and each is clicked and is all containing behavior behind.Website user's behavioural analysis just can disclose rising and decline, the populational subdivision of website visiting and the visit intention of customer group of people's heart demand, website visiting amount through the behavior of network data analysis people particular network.Its figures in the expression of value of the linen, as an equivalent, and consequently, as a thing that is value is present:
At first, it is how mutual in the website to understand the user: the user on website, done a little what, the user from where, connected mode how, whether user's interest is that what, user leave because navigation is bad very soon, or the like.
Secondly, help to set up the culture of data-driven, the auxiliary market operation: locate loyal any active ues and visit trend; Assessment advertising effect and activity promotion effect; For specialized operation support provides action suggestion timely and effectively.
At last, optimize the website and make it to realize better commercial object: this is the ultimate value of web analytics, comprises optimizing website structure and page quality, optimization flow source, enhancing user experience and satisfaction, and promotes final conversion.The website becomes more meticulous for advancing, differentiation operation target, helps long-term client's maintenance, marketing optimization and profit maximization.
Summary of the invention
The object of the invention is to provide the method for record and analysis user behavioural characteristic, and the method is paid close attention to the network user's user behavior characteristic, is applicable to the user characteristics in this field is analyzed.
In the present invention, consider network traffics analyses such as residence time, the entering page, also combined user behaviors such as click density, frequency statistics, path analysis and source analysis simultaneously, proposed user characteristics model and environmental constraints condition.The user characteristics model is a user property, comprises ID, user's regime type, user's regime type storehouse.When the specific user is analyzed, at first limit user concept, user object is described, divide user's classification.User's form according to different is carried out behavioural analysis, and then extracts correlated characteristic numerical value.The environmental constraints condition has indicated the current residing physical environment of user behavior signature analysis that carries out, such as the time, and demand, scene type etc.The network user is when using visit Internet network environment; Different condition restriction can be received, and the operation under the different condition, user's use preference and usage behavior can be influenced; So when carrying out signature analysis, combine active user's network environment of living in to extract related data.
The present invention is applicable to Internet user's signature analysis; The analytic system that realizes by the present invention can satisfy this important need of the real-time widely analysis task of completion; Also can satisfy the diversity demand of user characteristics, good support is provided those application or tasks that do not have real-time to require.
Description of drawings
Fig. 1 is used to explain user feature analysis model synoptic diagram.
Embodiment
The object of the invention is to provide the method for record and analysis user behavioural characteristic, and the method is paid close attention to the network user's user behavior characteristic, is applicable to user's subcharacter in this field is analyzed.The user feature analysis that according to said method carries out satisfies the specific demand to network user's feature extraction: like limited Internet resources; The adequacy degree of its Internet resources is from the small general resource to our common Internet of extreme; Need give full play to the maximization of limited resources utilization factor generally; Also to guarantee the characteristics such as real-time of network information response; Also can satisfy simultaneously user's diversity demand, good support can all be provided targetedly those information or services that do not have real-time to require.General website of such requirement and interactive site all can not satisfy the demands.
In the present invention, consider network traffics analyses such as residence time, the entering page, also combined user behaviors such as click density, frequency statistics, path analysis and source analysis simultaneously, proposed user characteristics model and environmental constraints condition.The user characteristics model is a user property, comprises ID, user's regime type, user's regime type storehouse.When the specific user is analyzed, at first limit user concept, user object is described, divide user's classification.User's form according to different is carried out behavioural analysis, and then extracts correlated characteristic numerical value.The environmental constraints condition has indicated the current residing physical environment of user behavior signature analysis that carries out, such as the time, and demand, scene type etc.The network user is when using visit Internet network environment; Different condition restriction can be received, and the operation under the different condition, user's use preference and usage behavior can be influenced; So when carrying out signature analysis, combine active user's network environment of living in to extract related data.
Website user's behavior has realized a kind of quantitative test means to the segmentation flow through target pages being inserted sign indicating number and log collection analysis.But the not too accuracy of focused data, the more variation tendency of focused data.Shown in accompanying drawing 1, to certain sole user, according to the physical environment of active user's behavior existence; Adopt the characteristic method with intellectual analysis of deriving, the characteristic of standardizing makes reasonably access of characteristic; Data volume minimizes, and to support mass data storage, improves analytical performance.In analytic process, consider scene migration and intelligent influence simultaneously, make feature extraction operation have real-time the user behavior process.Website user's behavioural analysis process comprises several stages:
Phase one: flow analysis.Paying close attention to content comprises residence time, gets into the page etc.;
Subordinate phase: behavioural analysis.Pay close attention to content and comprise click density, frequency statistics, path analysis, target conversion and source analysis;
Phase III: optimize intellectual analysis.Pay close attention to content and comprise segmentation user, loyalty, liveness, channel influence, interest topic etc.
In the analyzing and processing to the user behavior characteristic, the type of using to current web is to the target of website user's behavioural analysis also difference to some extent.The analysis emphasis of this behavior characteristic processing comprises increases website traffic and quality, optimization website structure to promote user experience and to promote user's conversion etc.; Promote flow and user's viscosity, comprise that the targeted customer locatees, interest analysis of central issue, path navigation optimization etc.Mainly considered in the processing:
1. analysis user is clicked focus, excavates optimal advertising position and most popular column content, strengthens propaganda and experiences.
2. understand user's use habit, optimize process pilot and layout optimization, strengthen the user's viscosity and the page degree of depth, reduce the rate of jumping out.
3. analysis user requirements for access, as search for, browse, comment on, personalization etc.
4. digging user interest topic preference distribution is portrayed the different dimensions demand.
Key point below in conjunction with corresponding description of drawings the method realization.
Fig. 1 explains the user feature analysis model.To certain single network user; According to physical environment, Access Events and the click on content that active user's behavior exists, adopt the method for characteristic derivation and intellectual analysis, the standardization characteristic; Make reasonably access of characteristic; Data volume minimizes, and to support mass data storage, improves analytical performance.
Industrial applicability
The present invention can be used for the network user is carried out the characteristic behavior analysis.The analytic system that realizes by the present invention satisfies the demand of using user's signature analysis to extract to the internet.
The above is merely preferred embodiment of the present invention, is not to be used to limit protection scope of the present invention.
Claims (2)
1. the method for record and analysis user behavioural characteristic; It is characterized in that it supports the user behavior signature analysis to real-time event, said user behavior is the use of Internet user to the website; Being one or a series of uses, is the fundamental analysis unit of this analysis method.
2. the method for record as claimed in claim 1 and analysis user behavioural characteristic, wherein, said user behavior comprises the residence time of user in the website, the source, website of user capture, the key word that uses in the user capture, the mode that the user browses web sites etc.
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| CN2010106000613A CN102541892A (en) | 2010-12-22 | 2010-12-22 | Method for recording and analyzing user behavior characteristic |
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| CN2010106000613A CN102541892A (en) | 2010-12-22 | 2010-12-22 | Method for recording and analyzing user behavior characteristic |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103646119A (en) * | 2013-12-26 | 2014-03-19 | 北京西塔网络科技股份有限公司 | Method and device for generating user behavior record |
| CN103678666A (en) * | 2013-12-24 | 2014-03-26 | 北京国双科技有限公司 | Data processing method and device used for online access |
| CN103678667A (en) * | 2013-12-24 | 2014-03-26 | 北京国双科技有限公司 | Data processing method and device used for online access |
| CN104253862A (en) * | 2014-09-12 | 2014-12-31 | 北京诺亚星云科技有限责任公司 | Digital panorama-based immersive interaction browsing guide support service system and equipment |
| CN104252679A (en) * | 2013-06-30 | 2014-12-31 | 北京百度网讯科技有限公司 | Construction method and system of brand advertisement evaluation system |
| CN104731807A (en) * | 2013-12-20 | 2015-06-24 | 北京风行在线技术有限公司 | Method and device for computing and analyzing page skip data |
| CN104767628A (en) * | 2014-01-06 | 2015-07-08 | 中兴通讯股份有限公司 | User experience quality evaluating method and device |
| 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 |
| CN107798558A (en) * | 2017-09-30 | 2018-03-13 | 中国平安人寿保险股份有限公司 | User behavior data analysis method and server |
| CN109840782A (en) * | 2017-11-24 | 2019-06-04 | 腾讯科技（深圳）有限公司 | Clicking rate prediction technique, device, server and storage medium |
| CN109934626A (en) * | 2019-03-05 | 2019-06-25 | 重庆锐云科技有限公司 | A kind of Real Estate Marketing management method and device based on public platform bean vermicelli liveness |
| CN113315670A (en) * | 2021-07-28 | 2021-08-27 | 深圳市华球通网络有限公司 | Network flow analysis method, device and storage medium |
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2010
- 2010-12-22 CN CN2010106000613A patent/CN102541892A/en active Pending
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104252679A (en) * | 2013-06-30 | 2014-12-31 | 北京百度网讯科技有限公司 | Construction method and system of brand advertisement evaluation system |
| CN104731807B (en) * | 2013-12-20 | 2018-06-05 | 北京风行在线技术有限公司 | A kind of method and device of statistics and analysis page jump data |
| CN104731807A (en) * | 2013-12-20 | 2015-06-24 | 北京风行在线技术有限公司 | Method and device for computing and analyzing page skip data |
| CN103678666A (en) * | 2013-12-24 | 2014-03-26 | 北京国双科技有限公司 | Data processing method and device used for online access |
| CN103678667B (en) * | 2013-12-24 | 2017-10-27 | 北京国双科技有限公司 | Data processing method and device for online access |
| CN103678667A (en) * | 2013-12-24 | 2014-03-26 | 北京国双科技有限公司 | Data processing method and device used for online access |
| CN103678666B (en) * | 2013-12-24 | 2017-02-15 | 北京国双科技有限公司 | Data processing method and device used for online access |
| CN103646119A (en) * | 2013-12-26 | 2014-03-19 | 北京西塔网络科技股份有限公司 | Method and device for generating user behavior record |
| CN104767628A (en) * | 2014-01-06 | 2015-07-08 | 中兴通讯股份有限公司 | User experience quality evaluating method and device |
| CN104253862B (en) * | 2014-09-12 | 2018-04-17 | 北京诺亚星云科技有限责任公司 | Immersion interaction guide to visitors support service system and equipment based on digital panoramic |
| CN104253862A (en) * | 2014-09-12 | 2014-12-31 | 北京诺亚星云科技有限责任公司 | Digital panorama-based immersive interaction browsing guide support service system and equipment |
| 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 |
| CN107798558A (en) * | 2017-09-30 | 2018-03-13 | 中国平安人寿保险股份有限公司 | User behavior data analysis method and server |
| CN109840782A (en) * | 2017-11-24 | 2019-06-04 | 腾讯科技（深圳）有限公司 | Clicking rate prediction technique, device, server and storage medium |
| CN109934626A (en) * | 2019-03-05 | 2019-06-25 | 重庆锐云科技有限公司 | A kind of Real Estate Marketing management method and device based on public platform bean vermicelli liveness |
| CN113315670A (en) * | 2021-07-28 | 2021-08-27 | 深圳市华球通网络有限公司 | Network flow analysis method, device and storage medium |
| CN113315670B (en) * | 2021-07-28 | 2021-10-01 | 深圳市华球通网络有限公司 | Network flow analysis method, device and storage medium |
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Application publication date: 20120704 |