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 Lei Shi

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Average citations per article0.00
Citation Count0
Publication count1
Publication years2017-2017
Available for download1
Average downloads per article212.00
Downloads (cumulative)212
Downloads (12 Months)212
Downloads (6 Weeks)45

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August 2017 ACM Transactions on Information Systems (TOIS): Volume 36 Issue 2, September 2017
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 45,   Downloads (12 Months): 212,   Downloads (Overall): 212

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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) [24] provides an effective solution with appealing merits: it represents users ...
Keywords: Cold start recommendation, matrix factorization

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