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20132023
most citedAn End-to-End Multi-Task Learning Model for Image-based Table Recognition

28 citations · 68 across the 18 of their papers we have counts for

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Showing 2019 · cs.IRShow all

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cs.IR2019

Boosting the Rating Prediction with Click Data and Textual Contents

ThaiBinh Nguyen, Atsuhiro Takasu

Matrix factorization (MF) is one of the most efficient methods for rating predictions. MF learns user and item representations by factorizing the user-item rating matrix. Further,…