A Context-Awareness Based Personalized Recommender System in a Pervasive Application Space

Abstract:

In this paper, we propose a context-awareness based personalized recommender system in the pervasive application space. The recommender system comprises the personalized recommender engine and the distributed context management framework. With a hybrid approach, the personalized recommender engine combines those contexts into the decisions on recommendations to get more comprehensive recommendation effectiveness. In contrast with existing middleware of context-awareness, the recommender system has an ability of user-centric recommendation. At the end of this paper, an emphasis is put on the metrics of the effectiveness of the recommender system.

• Periodical: Applied Mechanics and Materials (Volumes 373-375)
• Pages: 1202-1207
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.373-375.1202
• Online since: August 2013
• Authors: Quan Feng Yan, Yue Bin Wang, Zi Hua Qiu, Xu Huai Hu
• Keywords: Context-Awareness, Personalized Recommender System, Ubiquitous Computing

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