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Context-Aware Recommendation by Aggregating User Context

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Title Context-Aware Recommendation by Aggregating User Context
Authors

Dongmin Shin, Jae-won Lee, Jongheum Yeon, Sang-goo Lee

Date 2009-07
Keywords Aggregation, Context-awareness, ODP and Recommendation
Acknowledgement ITRC
Publication Type International Conference
Publication Info 2009 IEEE Conference on Commerce and Enterprise Computing , Volume , Page 423-430
Conference Info 4th International Workshop on Data Engineering Issues in E-Commerce and Services (DEECS 2009), 11th IEEE Conference on Commerce and Enterprise Computing July 20, 2009 (CEC July 20-23, 2009) Vienna, Austria
Publisher IEEE
SCIE
Other Information ISBN: 978-0-7695-3755-9
ISSN:
Link URL DOI
Download Media:DEECS2009-beatlifedm.pdf
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Abstract (Korean)



Abstract (English)
Traditional recommendation approaches do not consider the changes of user preferences according to context. As a result, these approaches consider the user’s overall preferences, although the user preferences on items varies according to his/her context. However, in our context-aware approach, we take into account not only user preferences, but also context information. Our approach can be easily adopted for content-based and collaborative filtering based recommendations. To exploit raw context information in recommendation, we abstract the raw context information to a concept level. Moreover, by aggregating the context information, we can improve the quality of recommendation. The results of several experiments show that our method is more precise than the traditional recommendation approaches.