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  1. University of Computer Studies, Yangon
  2. Conferences

Personalization for Web-based Book Shop System using Hybrid Data Mining Approaches

http://hdl.handle.net/20.500.12678/0000004920
http://hdl.handle.net/20.500.12678/0000004920
2837c465-e207-43e7-963e-c54010a73c52
42fa637b-856f-47e0-8e54-4ad464b90850
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psc2010paper psc2010paper (14).pdf (341 Kb)
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Article
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Publication
Title
Title Personalization for Web-based Book Shop System using Hybrid Data Mining Approaches
Language en
Publication date 2010-12-16
Authors
Hlaing, Thazin
Pearl
Description
Personalization is a new system development approach for designing information systems that change configurations based on each user's needs and preferences. If it is possible to recommend products to customers’ liking at the time they are visiting the specific web site, it would reduce the hassle customers experience in searching for products from a large information base.An effective personalization technique has to be customized to meet the specific needs of every particular domain and deliver quality recommendations. This paper presents a hybrid personalization system for web-based book-shop system. It combines the Bayesian classification method with association rule mining to model individual customer’s behavior. While Bayesian classifier is for effective customer profiles, Association rule presents item to item association based on user transactions.
Keywords
Recommender system, hybrid data mining approach, Bayesian classifier, Association rule mining
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/822
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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