ACM Transactions on Information Systems (TOIS): Volume 36 Issue 2, September 2017
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Cold-start recommendation is one of the most challenging problems in recommender systems. An important approach to cold-start recommendation is to conduct an interview for new users, called the interview-based approach . Among the interview-based methods, Representative-Based Matrix Factorization (RBMF)  provides an effective solution with appealing merits: it represents users ...
Cold start recommendation, matrix factorization