Learning optimal ranking with tensor factorization for tag recommendation
作者： Steffen Rendle , Leandro Balby Marinho , Alexandros Nanopoulos , Lars Schmidt-Thieme
关键词: Ranking (information retrieval) 、 Gradient descent 、 Missing data 、 Machine learning 、 Data mining 、 Contrast (statistics) 、 Mathematics 、 PageRank 、 Higher-order singular value decomposition 、 Artificial intelligence 、 Factorization 、 Optimization problem
摘要: … In [12] the problem of tag recommendations is casted as a multilabel ranking problem for … and a fast recommendation algorithm based on gaussian processes is proposed. The algorithm …
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sci-hub.se 参考文章(14)
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