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2013 IEEE 14th International Conference on Mobile Data Management (2006)
Nara, Japan
May 10, 2006 to May 12, 2006
ISSN: 1551-6245
ISBN: 0-7695-2526-1
pp: 109
Shinsuke Nakajima , Nara Institute of Science and Technology, Japan
Kenta Oku , Nara Institute of Science and Technology, Japan
Shunsuke Uemura , Nara Institute of Science and Technology, Japan
Jun Miyazaki , Nara Institute of Science and Technology, Japan
ABSTRACT
The purpose of this study is to propose Context-Aware Support Vector Machine (C-SVM) for application in a context-dependent recommendation system. It is important to consider users? contexts in information recommendation as users? preference change with context. However, currently there are few methods which take into account users? contexts (e.g. time, place, the situation and so on). Thus, we extend the functionality of a Support Vector Machines (SVM), a popular classifier method used between two classes, by adding axes of context to the feature space in order to consider the users? context. We then applied the Context-Aware SVM (C-SVM) and the Collaborative Filtering System with Context-Aware SVM (C-SVM-CF) to a recommendation system for restaurants and then examined the effectiveness of each approach.
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CITATION
Shinsuke Nakajima, Kenta Oku, Shunsuke Uemura, Jun Miyazaki, "Context-Aware SVM for Context-Dependent Information Recommendation", 2013 IEEE 14th International Conference on Mobile Data Management, vol. 00, no. , pp. 109, 2006, doi:10.1109/MDM.2006.56
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