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Developing an Interface Agent Approach to Personalized on Book Shopping Mall

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dc.contributor.author Aye, Myat Mon
dc.date.accessioned 2019-08-04T17:05:29Z
dc.date.available 2019-08-04T17:05:29Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1703
dc.description.abstract As the number of items increases dramatically, the problem of information overload becomes more serve when browsing and searching. The agents overcome this problem and help the user interaction on a working environment on the user's interests and desires. The user's interest information is obtained from the user registration and user's activities. Depending on this information the system calculates the collaborative recommendation for user requirements using the agglomerative clustering algorithm and linear regression for the new user and content-based recommendation for existing user using naïve Bayesian classification. This system provides assistance to the user by solving problem through agent user interaction. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.subject Interface agent en_US
dc.subject Content based filtering en_US
dc.subject Collaborative filtering en_US
dc.subject Agglomerative clustering en_US
dc.subject Naïve Bayesian classification en_US
dc.title Developing an Interface Agent Approach to Personalized on Book Shopping Mall en_US
dc.type Article en_US


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