AMER: Automatic Behavior Modeling and Interaction Exploration in Recommender System

10 Jun 2020 Pengyu Zhao Kecheng Xiao Yuanxing Zhang Kaigui Bian Wei Yan

User behavior and feature interactions are crucial in deep learning-based recommender systems. There has been a diverse set of behavior modeling and interaction exploration methods in the literature... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper