17 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.IR2021★ 17 cited
A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction
Ze Meng, Jinnian Zhang, Yumeng Li +3
Modeling powerful interactions is a critical challenge in Click-through rate (CTR) prediction, which is one of the most typical machine learning tasks in personalized advertising a…
cs.IR2020
Learning User Representations with Hypercuboids for Recommender Systems
Shuai Zhang, Huoyu Liu, Aston Zhang +6
Modeling user interests is crucial in real-world recommender systems. In this paper, we present a new user interest representation model for personalized recommendation. Specifical…