PME: pruning-based multi-size embedding for recommender systems.

Front Big Data · 2023 · PMC10311001 · PMID 37397622

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practically significantno p-value reported

It is worth pointing out that an improvement of approximately 0.001 in terms of Logloss or AUC is already regarded as practically significant on these CTR prediction tasks (Cheng et al., 2016 ).

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