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Kyaukse University
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Meiktila University
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Mohnyin University
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Myanmar Institute of Information Technology
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Myanmar Maritime University
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National Management Degree College
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Naypyitaw State Academy
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Pathein University
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Sagaing University
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Sagaing University of Education
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Taunggyi University
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Technological University, Hmawbi
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Technological University (Kyaukse)
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Technological University Mandalay
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University of Computer Studies, Mandalay
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University of Computer Studies Maubin
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University of Computer Studies, Meikhtila
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University of Computer Studies Pathein
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University of Computer Studies, Taungoo
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University of Computer Studies, Yangon
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University of Dental Medicine Mandalay
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University of Dental Medicine, Yangon
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University of Information Technology
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University of Mandalay
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University of Medicine 1
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University of Medicine 2
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University of Medicine Mandalay
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University of Myitkyina
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University of Public Health, Yangon
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University of Veterinary Science
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West Yangon University
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Yadanabon University
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Yangon Technological University
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Yangon University of Distance Education
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Yangon University of Economics
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Yangon University of Education
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Yangon University of Foreign Languages
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Yezin Agricultural University
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New Index
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Item
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Developing an Interface Agent Approach to Personalized on Book Shopping Mall
http://hdl.handle.net/20.500.12678/0000003990
http://hdl.handle.net/20.500.12678/00000039900254468e-a9d8-4443-b2cd-b5114c034982
ebbca961-90e1-44d9-a303-a3244dc424f1
Name / File | License | Actions |
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Publication type | ||||||
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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 |