METIOREW: An Objective Oriented Content Based and Collaborative Recommending System | Zendy

David Bueno i Torrens | Zendy; Ricardo Conejo | Zendy; Amos David | Zendy

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METIOREW: An Objective Oriented Content Based and Collaborative Recommending System

Author(s) -

David Bueno i Torrens,

Ricardo Conejo,

Amos David

Publication year - 2002

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-43293-0

DOI - 10.1007/3-540-45844-1_28

Subject(s) - computer science , task (project management) , world wide web , the internet , order (exchange) , recommender system , information retrieval , advice (programming) , management , finance , economics , programming language

The size of Internet has been growing very fast and many documents appear every day in the Net. Users find many problems in obtaining 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 needs. In this paper we analyze some existing Web recommending systems and identify some problems which we try to solve in our system METIOREW.

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