Recommender System based on Higher-order Logic Data Representation

DOI

10.2991/jcis.2008.26How to use a DOI?

Keywords

Collaborative Filtering; Higher-order logic data representation; higher-order logic distance

Abstract

Collaborative Filtering help users to deal with information overload and guide them in a personalized way to interesting or useful objects in a large space of possible options. 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.

Copyright

© 2008, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Linna Li
AU  - Bingru Yang
AU  - Zhuo Chen
PY  - 2008/12
DA  - 2008/12
TI  - Recommender System based on Higher-order Logic Data Representation
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 150
EP  - 155
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.26
DO  - 10.2991/jcis.2008.26
ID  - Li2008/12
ER  -