Combining recommender and reputation systems to produce better online advice

Jøsang, Audun , Guo, Guibing , Pini, Maria Silvia , Santini, Francesco , & Xu , Yue (2013) Combining recommender and reputation systems to produce better online advice. Lecture Notes in Computer Science [Modeling Decisions for Artificial Intelligence], 8234, pp. 126-138.

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Although recommender systems and reputation systems have quite different theoretical and technical bases, both types of systems have the purpose of providing advice for decision making in e-commerce and online service environments. The similarity in purpose makes it natural to integrate both types of systems in order to produce better online advice, but their difference in theory and implementation makes the integration challenging. In this paper, we propose to use mappings to subjective opinions from values produced by recommender systems as well as from scores produced by reputation systems, and to combine the resulting opinions within the framework of subjective logic.

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ID Code: 69658
Item Type: Journal Article
Refereed: Yes
Additional Information: 10th International Conference, MDAI 2013, Barcelona, Spain, November 20-22, 2013. Proceedings
Keywords: Pattern recognition, Data mining and knowledge discovery, Information systems applications, Information storage and retrieval
DOI: 10.1007/978-3-642-41550-0_12
ISSN: 0302-9743
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Springer-Verlag Berlin Heidelberg
Deposited On: 02 Apr 2014 07:00
Last Modified: 03 Apr 2014 01:43

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