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Implementation of Web Stored System by Building a Web Page Recommender System

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dc.contributor.author Kywe, Phyo Phyo
dc.date.accessioned 2019-07-31T15:08:37Z
dc.date.available 2019-07-31T15:08:37Z
dc.date.issued 2009-12-30
dc.identifier.uri https://onlineresource.ucsy.edu.mm/handle/123456789/1550
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.subject Recommender System en_US
dc.subject Collaborative Filtering en_US
dc.subject Vector Space Model en_US
dc.title Implementation of Web Stored System by Building a Web Page Recommender System en_US
dc.type Article en_US


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