Recommender System based on Higher-order Logic Data Representation
Linna Li1, Bingru Yang, Zhuo Chen
1University of Science and Technology Beijing
Available Online December 2008.
- 10.2991/jcis.2008.26How to use a DOI?
- Collaborative Filtering; Higher-order logic data representation; higher-order logic distance
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.
- © 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/).
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 - 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 -