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User Cold-Start Solutions in Recommendation Systems

This paper presents methodologies for addressing the cold-start problem in recommendation systems. The User-Info Aspect Model is introduced, along with the application of Expectation Maximization for prediction. Results and conclusions are discussed.

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User Cold-Start Solutions in Recommendation Systems

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  1. Addressing Cold-Start Problem in Recommendation Systems Vietnam National University of Ho Chi Minh City Xuan Nhat Lam, Anh Duc Duong Sungkyunkwan University Trong Duc Le Stanford University Thuc Vu

  2. Outline • Abstract • The User-Info Aspect Model • Expectation Maximization • Prediction • Result • Conclusions

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