LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates

ACM International Conference on Information and Knowledge Management, pp.227-236, (2016)

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State-of-the-art item recommendation algorithms, which apply Factorization Machines (FM) as a scoring function and pairwise ranking loss as a trainer (PRFM for short), have been recently investigated for the implicit feedback based context-aware recommendation problem (IFCAR). However, good recommenders particularly emphasize on the accur...更多

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