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ENTITY Embarrassingly Shallow Autoencoders for Sparse Data

Embarrassingly Shallow Autoencoders for Sparse Data

PulseAugur coverage of Embarrassingly Shallow Autoencoders for Sparse Data — every cluster mentioning Embarrassingly Shallow Autoencoders for Sparse Data across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_342253 ·

    New research paper proposes enhanced collaborative filtering models

    A new research paper proposes alternatives to the Embarrassingly Shallow Autoencoders for Sparse Data (EASE) model for collaborative filtering. The authors argue that EASE's focus on item-item relationships limits its a…