11th Joint International Conference on Information Sciences

Recommender System based on Higher-order Logic Data Representation

Authors
Linna Li 0, Bingru Yang, Zhuo Chen
Corresponding Author
Linna Li
0University of Science and Technology Beijing
Available Online December 2008.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
11th Joint International Conference on Information Sciences
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.26How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SP  - 150
EP  - 155
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.26
DO  - https://doi.org/10.2991/jcis.2008.26
ID  - Li2008/12
ER  -