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Developing an Interface Agent Approach to Personalized on Book Shopping Mall

http://hdl.handle.net/20.500.12678/0000003990
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ebbca961-90e1-44d9-a303-a3244dc424f1
None
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55094.pdf 55094.pdf (264 Kb)
Publication type
Article
Upload type
Publication
Title
Title Developing an Interface Agent Approach to Personalized on Book Shopping Mall
Language en
Publication date 2009-12-30
Authors
Aye, Myat Mon
Description
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.
Keywords
Interface agent, Content based filtering, Collaborative filtering, Agglomerative clustering, Naïve Bayesian classification
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1703
Journal articles
Fourth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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