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Solving Cold Start WithLebiD2

Lebi Jean Marc Dali and Qin Zhi Guang
Department of Computer Science and Engineering, University of Electronics, Science and Technology of China

Abstract—Cold-Start is one of the most difficult problems faced by web companies today in the domain of recommendation system. Cold-Start problem refers to predicting the behavior of a new user having no history. Common algorithms used to predict user’s behavior fail at addressing the cold-start problem because the algorithms are based on the user history with the company. But in this paper, we successfully solve the cold-start problem by applying the model based paradigm to the trust based methodology. In this paper, we explain our method in detail.

Index Terms—cold start, recommenders, model-based RS, trust based algorithm, social network

Cite: Lebi Jean Marc Dali and Qin Zhi Guang, "Solving Cold Start WithLebiD2," International Journal of Mechanical Engineering and Robotics Research, Vol.4, No. 3, pp. 255-258, July 2015. DOI: 10.18178/ijmerr.4.3.255-258