2026-09-22T00:06:20Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/3823 2021-12-13T03:46:41Z 1582963302567:1597824273898 user-ucsy

IMPLEMENTATION OF WEB STORED SYSTEM BY BUI LDING A WEB PAGE RECOMMENDER SYSTEM Kywe, Phyo Phyo As Recommender systems are an important part of recent E-commerce, this paper is proposed to recommend the items to a user based a description of the item of the user’s interests and them allows the user to see more details about a selected product (computer accessories) and to recommend the best seller products according to the user’s preferences. We also propose a framework for building a web-page recommender system for especially computer accessories. To construct a recommender system, information filtering is considered. By using the vector space model, the information filtering processes can be performed prior to the actual recommendation process. As a result, it generates the list of information which suits the user’s most buying products/interests and it enables the increase of sales by suggesting to the users selected products on offer. 2009-12-30 http://hdl.handle.net/20.500.12678/0000003823 https://meral.edu.mm/records/3823