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Author Symeonidis, P. ♦ Nanopoulos, A. ♦ Papadopoulos, A. ♦ Manolopoulos, Y.
Sponsorship IEEE Comput. Soc. ♦ IEEE ♦ Concordia Univ
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2006
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Computer programming, programs & data ♦ Technology ♦ Engineering & allied operations
Subject Keyword Collaboration ♦ Information filtering ♦ Information filters ♦ Recommender systems ♦ Information retrieval ♦ Data mining ♦ Performance evaluation ♦ Informatics ♦ Electronic commerce ♦ Motion pictures
Abstract Collaborative filtering (CF) systems are gaining widespread acceptance in recommender systems and e-commerce applications. These systems combine information retrieval and data mining techniques to provide recommendations for products, based on suggestions of users with similar preferences. Nearest-neighbor CF process is influenced by several factors, which were not examined carefully in past work. In this paper, we bring to surface these factors in order to identify existing false beliefs. Moreover, by being able to view the "big picture" from the CF process, we propose new approaches that substantially improve the performance of CF algorithms. For instance, we obtain more than 40% percent increase in precision in comparison to widely-used CF algorithms. We perform an extensive experimental evaluation, with several real data sets, and produce results that invalidate some existing beliefs and illustrate the superiority of the proposed extensions
Description Author affiliation: Dept. of Informatics, Aristotle Univ. (Symeonidis, P.; Nanopoulos, A.; Papadopoulos, A.; Manolopoulos, Y.)
ISBN 0769525776
ISSN 10988068
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2006-12-11
Publisher Place India
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 230.05 kB
Page Count 8
Starting Page 29
Ending Page 36

Source: IEEE Xplore Digital Library