Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling
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DOI: 10.1109/tpami.2022.3141095
Abstract: The recently proposed Collaborative Metric Learning (CML) paradigm has aroused wide interest in the area of recommendation systems (RS) owing to its simplicity and effectiveness. Typically, the existing literature of CML depends largely on the… read more here.
Keywords: negative sampling; metric learning; without negative; efficient alternative ... See more keywords