most citedFeature Generation by Convolutional Neural Network for Click-Through Rate Prediction

142 citations · 142 across the 1 of their papers we have counts for

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1 paper

cs.IR2019★ 142 cited

Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction

Bin Liu, Ruiming Tang, Yingzhi Chen +3

Click-Through Rate prediction is an important task in recommender systems, which aims to estimate the probability of a user to click on a given item. Recently, many deep models hav…