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.
