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Author Linna Li ♦ Wei Zhang
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2008
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Demography ♦ Logic programming ♦ Collaboration ♦ Knowledge representation ♦ Information filters ♦ Data engineering ♦ Information filtering ♦ Workstations ♦ Recommender systems ♦ Intelligent agent
Abstract In this paper, we present a novel and elegant hybrid recommender system called HOLCF, which use higher-order logic as data representation and integrate content and demographic information into a collaborative filtering framework by using higher-order logic distance computation approaches without the effort of feature construction. Our experiments suggest that the effective combination of various kinds of information based on higher-order logic distance computation approaches provides improved accurate recommendations than other approaches.
Description Author affiliation: Digital China Postdoctoral Res. Workstation, Haidian Park of Beijing Zhongguancun Sci. Park, Beijing (Wei Zhang) || Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing (Linna Li)
ISBN 9780769534961
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2008-12-09
Publisher Place Australia
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 325.04 kB
Page Count 4
Starting Page 86
Ending Page 89

Source: IEEE Xplore Digital Library