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Research And Implement Of Personalized Columns Customization Component Based On The Client

Posted on:2009-05-21Degree:MasterType:Thesis
Country:ChinaCandidate:Y LuFull Text:PDF
GTID:2178360245952321Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
The paper introduces the significance of the research, the status quo of personalized customization at domestic and international, and the main research contents. It gives the architecture of personalized columns customization based on the client, functional module, and the main techniques. It describes the development, the definition and the process of data mining.Combining with the client logging methods that the author realized, the paper analyzes the contents and methods of Web content mining, Web structure mining and Web log mining. It discusses the user's access interests, a measure of access interests, the access times and access keywords of the user visited columns, and studies the measurement method of calculating users' interests on the comprehensive utilization of columns and keywords interest intensity. It makes sure of the design and realization ideas of the log generator.Aimed at the operation of personalized columns customization pages based on the client, the paper carefully studies the basic skills such as the operation of mouse capture, positioning, and drag and drop, and others. It gives the drag and drop rules and the specific methods of achievement various operations. Through comparing and analyzing three state management ways, the paper introduces the detailed implementation process to save pages by using Cookie.Combining with the development example, the paper introduces the main functions and use of Venkman which is a debugging tool in detail. It gives the key technologies such as the implementation principle, the state storage mechanism, and the database design. Through the drag operations of the implemented column pages and the changed graphs in the save process, the research results is showed.Finally, the paper reviews the encounter problems and the corresponding solutions in the implementation of personalized column customization components, sums up the major work what have done, and proposes the further research.
Keywords/Search Tags:Personalization, Column customization, Component, Web log, Cookie
PDF Full Text Request
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