DocumentCode :
2736858
Title :
DFre: A Distributed Fuzzy Reasoning Engine for Personalization Recommendation
Author :
Ye, Jian ; Li, Jintao ; Hongzhou Shi ; Xiaoguang Gu ; Zhu, Zhenmin
Author_Institution :
China; Grad. Sch. of Chinese Acad. of Sci., Chinese Acad. of Sci., Beijing
Volume :
2
fYear :
2008
fDate :
6-8 Oct. 2008
Firstpage :
576
Lastpage :
581
Abstract :
In a pervasive computing environment, the personalized recommender system incorporates contexts into recommendation and becomes a multiple dimensional decision expert system. In this paper, we present DFre, a distributed fuzzy reasoning engine for personalization recommendation. With difference from those existing rule-based systems, the DFre puts an emphasis on the distribution of the recommendation in the pervasive computing environment. With the distributed data management framework, the DFre has an ability of getting those distributed primitive data and fuzzy rules, which makes the distributed reasoning become true. Finally, the feasibility of DFre in the user-centric recommender system is validated through the Flowing Desktop which is an example of the personalized recommender engine.
Keywords :
decision making; expert systems; fuzzy set theory; inference mechanisms; information filtering; ubiquitous computing; DFre; Flowing Desktop; distributed data management framework; distributed fuzzy reasoning engine; fuzzy rules; multiple dimensional decision expert system; personalization recommendation; personalized recommender system; pervasive computing; rule-based systems; user-centric recommender system; Computers; Context awareness; Context-aware services; Engines; Expert systems; Fuzzy reasoning; Knowledge based systems; Pervasive computing; Recommender systems; Ubiquitous computing; Distributed Reasoning; Personalized Recommendation; Pervasive Computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
Conference_Location :
Alexandria
Print_ISBN :
978-1-4244-2020-9
Electronic_ISBN :
978-1-4244-2021-6
Type :
conf
DOI :
10.1109/ICPCA.2008.4783678
Filename :
4783678
Link To Document :
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