DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction

12 Apr 2018Huifeng GuoRuiming TangYunming YeZhenguo LiXiuqiang HeZhenhua Dong

Learning sophisticated feature interactions behind user behaviors is critical in maximizing CTR for recommender systems. Despite great progress, existing methods have a strong bias towards low- or high-order interactions, or rely on expertise feature engineering... (read more)

PDF Abstract

Evaluation results from the paper


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