Neural Collaborative Filtering vs. Matrix Factorization Revisited

19 May 2020 Steffen Rendle Walid Krichene Li Zhang John Anderson

Embedding based models have been the state of the art in collaborative filtering for over a decade. Traditionally, the dot product or higher order equivalents have been used to combine two or more embeddings, e.g., most notably in matrix factorization... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Link Prediction Yelp NGCF HR@10 0.8068 # 6
nDCG@10 0.481 # 5

Methods used in the Paper


METHOD TYPE
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