2024-03-29T02:08:40Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/4077
2022-03-24T23:16:14Z
1582963302567:1597824273898
user-ucsy
Implementation of Recommender System for Book Store Using Decision Tree Technique
Chaw, Hnin Thiri
Htwe, Ah Nge
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 .
2009-12-30
http://hdl.handle.net/20.500.12678/0000004077
https://meral.edu.mm/records/4077