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Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Alan Hanjalic
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
If accurate top-N recommendation lists are to be produced for such graded relevance domains, it is critical to generate a ranked list of recommended items directly rather than predicting ratings.  ...  recommendation in domains with graded relevance data.  ...  The difference with previous work is that we integrate GAP optimization with latent factor models for learning optimal top-N recommendation in the graded relevance domains.  ... 
doi:10.1145/2505515.2505653 dblp:conf/cikm/ShiKBLH13 fatcat:4vsr343swzf35mydj2q57mpzui