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Found 2 papers, 1 papers with code
Tuning Word2vec for Large Scale Recommendation Systems
We show that applying constrained hy-perparameter optimization using only a 10% sample of the data still yields a 91%average improvement in hit rate over the default parameters when applied to thefull datasets.
AutoRec: Autoencoders Meet Collaborative Filtering
This paper proposes AutoRec, a novel autoencoder framework for collaborative filtering (CF).
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