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Research On Information Filtering Theory And Model Of The Business Website

Posted on:2014-02-03Degree:MasterType:Thesis
Country:ChinaCandidate:X S SunFull Text:PDF
GTID:2248330395494671Subject:Information Science
Abstract/Summary:PDF Full Text Request
Nowadays, information, material and energy are the three pillars of society. Thepopularity of3G network and the advent of the era of APP turn information intoindispensable strategic resources in the society system. However, the informatizationof society is a double-edged sword. On one hand, the wide use of Internet technology,information technology, communication technology has brought people greatwell-being, on the other hand it also brought the explosive growth of information. Thefalse information, redundant information, repetitive information and outdatedinformation severely damage the balance of the information ecosystem. Therefore, theconflict between information and information environment intensified. Comparedwith abroad, the research on information ecology in domestic starts late, but thepressing needs of ecological civilization makes information ecology as a Rising Star,becoming one of research hotspots at home and abroad.The word Ecology and Environment were mentioned28times in the17thnational congress of the communist party of China, and in recently held meeting, the18th national congress,the number was increased to45, highlighting the importanceof ecological ideas. In the eighteenth national congress of the communist party ofChina, Hu Jintao proposed that we should promote the building of ecologicalcivilization and put it in a prominent position, then integrate with all aspects and thewhole process of the economic construction, political construction, culturalconstruction, and social construction. The ecological civilization, as the fifthconstruction goal after the construction of Four One, was promoted to a higherstrategic level. Thus blending Biological Civilization into the field of electroniccommerce, and researching on the ecologicalization of e-commerce site informationin all aspects, have historical significance. The times produce their heroes. Under the environment of Three Net Fusions andInformation Exponential Growth, e-commerce site as a vital economic part of people’sdaily life, can become the heroic of the21st century only through the supports ofinformation filtering technologies, improving their own construction, meeting thedynamic demand of the users timely, accurately, efficiently, seizing the opportunityand avoiding risks. This paper, as a part of interdisciplinary national social sciencefund research project, summarized the domestic and foreign present research situationand development trend after the analysis of a large number of literature, then formedthe highly compatibility and systemic results with the theoretic support of Physics,Information Science, Ecology, Computer Science and Social Science and so on.As in the crossing field of Information Ecology and E-commerce, first of all, thispaper analyzed the related theory on information ecosystem of e-commerce site, andstated systematically the characteristics and harms of the widespread spam, thenconcluded the necessity of information filtering. Secondly, according to the goal ofe-commerce site information filtering, using the WebSpider technology expounds theprinciple of the e-commerce site information filtering respectively from the twodimensions URL and Content, together with the method of combining the textgraphics; Third, on the basis of the general information filtering model, combiningwith the environment of e-commerce site, blended the Food Chain, the Biological CellMembrane, and Information Lifecycle into the building of e-commerce siteinformation filtering model, then formed a highly ecosystem, scientific andcompatible logic model diagram of e-commerce site information filtering. Finally, thispaper attempted to verify the scientificity and rationality of the principle summarizedand model builded with case of Taobao, hoping to provide the foundations for thesubsequent related research.
Keywords/Search Tags:Business Website, Information Filtering, Filtering Model, Biological Information
PDF Full Text Request
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