Personalized recommendation on multi-layer context graph

Yao, Weilong, He, Jing, Huang, Guangyan, Cao, Jie and Zhang, Yanchun 2013, Personalized recommendation on multi-layer context graph, in WISE 2013 : Web information systems engineering : 14the International conference Nanjing, China, October 13-15, 2013 Proceedings, Part 1, Springer, Berlin, Germany, pp. 135-148, doi: 10.1007/978-3-642-41230-1_12.

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Title Personalized recommendation on multi-layer context graph
Author(s) Yao, Weilong
He, Jing
Huang, GuangyanORCID iD for Huang, Guangyan
Cao, Jie
Zhang, Yanchun
Conference name International Conference on Web Information Systems Engineering (14th : 2013 : Nanjing, China)
Conference location Nanjing, China
Conference dates 13-15 Oct. 2013
Title of proceedings WISE 2013 : Web information systems engineering : 14the International conference Nanjing, China, October 13-15, 2013 Proceedings, Part 1
Editor(s) Lin, Xuemin
Manolopoulos, Yannis
Srivastava, Divesh
Huang, Guangyan
Publication date 2013
Series Lecture Notes in Computer Science 8180
Start page 135
End page 148
Total pages 14
Publisher Springer
Place of publication Berlin, Germany
Summary Recommender systems have been successfully dealing with the problem of information overload. A considerable amount of research has been conducted on recommender systems, but most existing approaches only focus on user and item dimensions and neglect any additional contextual information, such as time and location. In this paper, we propose a Multi-Layer Context Graph (MLCG) model which incorporates a variety of contextual information into a recommendation process and models the interactions between users and items for better recommendation. Moreover, we provide a new ranking algorithm based on Personalized PageRank for recommendation in MLCG, which captures users' preferences and current situations. The experiments on two real-world datasets demonstrate the effectiveness of our approach.
ISBN 9783642412295
ISSN 0302-9743
Language eng
DOI 10.1007/978-3-642-41230-1_12
Field of Research 080503 Networking and Communications
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2013, Springer
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Collection: School of Information Technology
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