301 citations · 455 across the 6 of their papers we have counts for
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stat.ML2020★ 7 cited
Learning Optimal Tree Models Under Beam Search
Jingwei Zhuo, Ziru Xu, Wei Dai +4
Retrieving relevant targets from an extremely large target set under computational limits is a common challenge for information retrieval and recommendation systems. Tree models, w…
stat.ML2018★ 301 cited
Learning Tree-based Deep Model for Recommender Systems
Han Zhu, Xiang Li, Pengye Zhang +4
Model-based methods for recommender systems have been studied extensively in recent years. In systems with large corpus, however, the calculation cost for the learnt model to predi…
stat.ML2017★ 38 cited
Deep Interest Network for Click-Through Rate Prediction
Guorui Zhou, Chengru Song, Xiaoqiang Zhu +7
Click-through rate prediction is an essential task in industrial applications, such as online advertising. Recently deep learning based models have been proposed, which follow a si…