Personalized expert-based recommender system: training C-SVM for personalized expert identification

Authors:
Yeounoh Chung;Hye-Wuk Jung;Jaekwang Kim;Jee-Hyong Lee
Affiliations:
Information and Intelligence Systems Laboratory, Sungkyunkwan University, Suwon, Korea;Information and Intelligence Systems Laboratory, Sungkyunkwan University, Suwon, Korea;Information and Intelligence Systems Laboratory, Sungkyunkwan University, Suwon, Korea;Information and Intelligence Systems Laboratory, Sungkyunkwan University, Suwon, Korea
Venue:
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Year:
2013

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Abstract

In order to improve the performance of the existing recommendation algorithms, previous researches on expert-based recommender systems have exploited the knowledge of experts. However, the previous expert-based recommender systems are limited in that the same experts are suggested for all users. In this paper, we study personalized expert identification problem, assuming each user needs different kinds and levels of expert help. We demonstrate the feasibility of personalized expert-based recommendation; we present and analyze an SVM framework for finding personalized experts.