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Implementation of Recommender System for Book Store Using Decision Tree Technique

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dc.contributor.author Chaw, Hnin Thiri
dc.contributor.author Htwe, Ah Nge
dc.date.accessioned 2019-08-05T12:52:37Z
dc.date.available 2019-08-05T12:52:37Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1782
dc.description.abstract The proposed system is the recommender system for book store using decision tree induction technique which is the data mining technique of the recommendation to extract rules in terms of entropy and information gain and to recommend the item to the customer. There had been various kinds of recommendation systems with different techniques. The recommendation system is to recommend the item that the customers wanted to buy and easy buying for customers .In addition ,many vendors are trying to compete each other to give good services to the customers who use their system to get their satisfaction and to promote and sale their product. The proposed system can determine what kind of item the customer really want to buy . en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.title Implementation of Recommender System for Book Store Using Decision Tree Technique en_US
dc.type Article en_US


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