A Semantic Approach to Recommendation System Based on User Ontology and Spreading Activation Model
Q. Gao, J. Yan, and M. Liu. NPC '08: Proceedings of the 2008 IFIP International Conference on Network and Parallel Computing, page 488--492. Washington, DC, USA, IEEE Computer Society, (2008)
DOI: 10.1109/npc.2008.74
Abstract
Since the current web is largely unorganized and there is a rapid growth of information volumes, the recommendation system whose major purpose is to reduce irrelevant content and to provide users with more pertinent and tailored information becomes an important research area. A key issue in this area is how to discover user's interest and behavior effectively. In this paper we investigate an approach to recommendation system based on user ontology and spreading activation model. Through combining the user ontology and spreading activation model, the capability of discovering of user's potential interests is enhanced. A prototype system is also developed base on this methodology.
%0 Conference Paper
%1 citeulike:3779904
%A Gao, Qi
%A Yan, Junwei
%A Liu, Min
%B NPC '08: Proceedings of the 2008 IFIP International Conference on Network and Parallel Computing
%C Washington, DC, USA
%D 2008
%I IEEE Computer Society
%K recommender spread-activation
%P 488--492
%R 10.1109/npc.2008.74
%T A Semantic Approach to Recommendation System Based on User Ontology and Spreading Activation Model
%U http://dx.doi.org/10.1109/npc.2008.74
%X Since the current web is largely unorganized and there is a rapid growth of information volumes, the recommendation system whose major purpose is to reduce irrelevant content and to provide users with more pertinent and tailored information becomes an important research area. A key issue in this area is how to discover user's interest and behavior effectively. In this paper we investigate an approach to recommendation system based on user ontology and spreading activation model. Through combining the user ontology and spreading activation model, the capability of discovering of user's potential interests is enhanced. A prototype system is also developed base on this methodology.
%@ 978-0-7695-3354-4
@inproceedings{citeulike:3779904,
abstract = {{Since the current web is largely unorganized and there is a rapid growth of information volumes, the recommendation system whose major purpose is to reduce irrelevant content and to provide users with more pertinent and tailored information becomes an important research area. A key issue in this area is how to discover user's interest and behavior effectively. In this paper we investigate an approach to recommendation system based on user ontology and spreading activation model. Through combining the user ontology and spreading activation model, the capability of discovering of user's potential interests is enhanced. A prototype system is also developed base on this methodology.}},
added-at = {2018-03-19T12:24:51.000+0100},
address = {Washington, DC, USA},
author = {Gao, Qi and Yan, Junwei and Liu, Min},
biburl = {https://www.bibsonomy.org/bibtex/269446b0a13248802f3f30b53952cea4d/aho},
booktitle = {NPC '08: Proceedings of the 2008 IFIP International Conference on Network and Parallel Computing},
citeulike-article-id = {3779904},
citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1441425.1441845},
citeulike-linkout-1 = {http://dx.doi.org/10.1109/npc.2008.74},
doi = {10.1109/npc.2008.74},
interhash = {f7f7f72cd66de050a148c1b3057b0fb1},
intrahash = {69446b0a13248802f3f30b53952cea4d},
isbn = {978-0-7695-3354-4},
keywords = {recommender spread-activation},
pages = {488--492},
posted-at = {2008-12-12 03:29:33},
priority = {4},
publisher = {IEEE Computer Society},
timestamp = {2018-03-19T12:24:51.000+0100},
title = {{A Semantic Approach to Recommendation System Based on User Ontology and Spreading Activation Model}},
url = {http://dx.doi.org/10.1109/npc.2008.74},
year = 2008
}