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Research On Personalized Recommendation System In E-Bussiness Based On Multi-Agent

Posted on:2008-05-03Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2178360215454574Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Electronic business has been developed tremendously in just a few years. The trade volume for global E-business transactions has reached approximately 13 trillion US dollars in 2006, which accounted for 20% of worldwide business transactions. The scope, therefore, makes it more and more difficult for users to glean rapidly the accurate information on the Internet.To set up a well-connected recommendation platform for E-business, therefore, will benefit the users for locating quickly the interesting goods among many E-business websites, on one hand, and increase the influence of these websites, securing and promoting users' fidelity and carrying out interactive sales, on the other hand.It seems that the mass-public recommendation pattern is hardly satisfied with the need for personal individuality. The recommendation services of E-business have been transformed from the initial browsing of classification of commodity catalogs to the recommendation for peculiarity by delving into the potential interests of users.There are four approaches for individual recommendation aimed at various consuming-patterns of users: on users-visiting pattern, on users-appraising pattern, on the peculiarity of texts and on credit-assessing of users. The operational mechanisms and procedures of these strategies will be analyzed in details to depict thoroughly the patterns of data and algorithm needed by every strategy.The originality of program using Agent method has been initiated from the perspective on the society. The software system can embody the social intelligence of human being, making it to be more flexible and adaptable. Base on the E-business peculiarities of Agent, the main researching works for recommendation systems can be as follows: analyzing the structure relationship of the system to construct its structure in frame, setting up the structure of model Agent based on various strategies, describing thoroughly the communication protocols and connection patterns, and explaining the operational procedures by making use of one example to verify the logical accuracy of the design of the system by the simulation testing.
Keywords/Search Tags:E-business, Personal Recommendation, Agent structure, Multi-Agent system
PDF Full Text Request
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