Adaptive ensemble with trust networks and collaborative recommendations
Zou H.1; Gong Z.1; Zhang N.3; Li Q.2; Rao Y.2
2015-09-17
Source PublicationKnowledge and Information Systems
ISSN02193116 02191377
Volume44Issue:3Pages:663-688
Abstract

Several existing recommender algorithms combine collaborative filtering and social/trust networks together in order to overcome the problems caused by data scarcity and to produce more effective recommendations for users. In general, those methods fuse a user’s own taste and his trusted friends/users’ tastes using an ensemble model where a parameter is used to balance these two components. However, this parameter is often set as a constant and with no regard to users’ individual characteristics. Aiming at introducing personalization to solve the above problem, we propose a local topology-based ensemble model to adaptively combine a user’s own taste and his trusted friends/users’ tastes. We take users’ clustering coefficients in the social/trust networks as the indicator to measure the consistence of their selecting trusted friends/users and leverage this local topology-based parameter in the ensemble model. To predict the likelihood of users’ purchasing actions on items, we also combine item ratings and sentiment values which are reflected in the review contents as the input to the adaptive ensemble model. We conduct comprehensive experiments which demonstrate the superiority of our adaptive algorithms over the existing ones.

KeywordCluster Coefficient Collaborative Filtering Ensemble Recommender Sentiment Analysis Trust Network
DOI10.1007/s10115-014-0782-7
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS IDWOS:000359548100007
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Citation statistics
Cited Times [WOS]:5   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Universidade de Macau
2.City University of Hong Kong
3.George Washington University
Recommended Citation
GB/T 7714
Zou H.,Gong Z.,Zhang N.,et al. Adaptive ensemble with trust networks and collaborative recommendations[J]. Knowledge and Information Systems,2015,44(3):663-688.
APA Zou H.,Gong Z.,Zhang N.,Li Q.,&Rao Y..(2015).Adaptive ensemble with trust networks and collaborative recommendations.Knowledge and Information Systems,44(3),663-688.
MLA Zou H.,et al."Adaptive ensemble with trust networks and collaborative recommendations".Knowledge and Information Systems 44.3(2015):663-688.
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