METIOREW: An Objective Oriented Content Based and Collaborative Recommending System

The size of Internet has been growing very fast and many documents appear every day in the Net. Users find many problems to obtain the information that they really need. In order to help users in this task of finding relevant information, recommending systems were proposed. They give advice using two methods: the content-based method that extracts information from the already evaluated documents by the user in order to obtain new related documents; the collaborative method that recommends documents to the user based on the evaluation by users with similar information need. In this paper we will present our approach through the employment of a user model and analyze some existing Web recommending systems and identify some problems that we try to solve in our system METIOREW. Some of the problems in document recommendation are: a) how to begin with document recommendation to users at the beginning of interaction when there is little or no knowledge on the user, b) how to make document re...

• Type: Conference
• Year: 2001
• Where: OHS
• Authors: David Bueno, Ricardo Conejo, Amos David
• Keywords: Document Recommendation, Documents, Internet Technology, OHS 2001, User Model