Peer-based relay scheme of collaborative filtering for research literature
Authors: Zhong, Y., Zhao, W., Yang, J. and Xu, L.
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 7044 LNCS
Issue: PART 1
Pages: 321-328
eISSN: 1611-3349
ISBN: 9783642251085
ISSN: 0302-9743
DOI: 10.1007/978-3-642-25109-2_21
Abstract:Much work has been done in both industry and academia on filtering for research literature, however most existing studies have their limitations in coping with the inherent characteristics of research literature search, i.e., most articles attract very few readers among all the researchers, and the recommendations are often circulated through members of particular communities. In this paper we propose a peer-based relay scheme of collaborative filtering for, but not limited to research literature. In the scheme, a recommendation request is relayed through a social structure dynamically formed by co-peers with common interests, and the recommendation results are adjusted and propagated by the co-peers. A hybrid filtering approach is deployed in the scheme. © 2011 Springer-Verlag.
Source: Scopus
Peer-Based Relay Scheme of Collaborative Filtering for Research Literature
Authors: Zhong, Y., Zhao, W., Yang, J. and Xu, L.
Journal: ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2011, PT I
Volume: 7044
Pages: 321-+
eISSN: 1611-3349
ISBN: 978-3-642-25108-5
ISSN: 0302-9743
Source: Web of Science (Lite)
Peer-based relay scheme of collaborative filtering for research literature.
Authors: Zhong, Y., Zhao, W., Yang, J. and Xu, L.
Editors: Meersman, R. and Dillon, T.
Conference: 19th International Conference on Cooperative Information Systems (CoopIS 2011)
Dates: 19-21 October 2011
Publisher: Springer Verlag
Abstract:Much work has been done in both industry and academia on filtering for research literature, however most existing studies have their limitations in coping with the inherent characteristics of research literature search, i.e., most articles attract very few readers among all the researchers, and the recommendations are often circulated through members of particular communities. In this paper we propose a peer-based relay scheme of collaborative filtering for, but not limited to research literature. In the scheme, a recommendation request is relayed through a social structure dynamically formed by co-peers with common interests, and the recommendation results are adjusted and propagated by the co-peers. A hybrid filtering approach is deployed in the scheme.
Source: Manual
Preferred by: Lai Xu