4 citations · 6 across the 3 of their papers we have counts for
Showing cs.IRShow all
3 papers · 1 filter
cs.IR2022
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation
Yi Li, Jieming Zhu, Weiwen Liu +6
The goal of recommender systems is to provide ordered item lists to users that best match their interests. As a critical task in the recommendation pipeline, re-ranking has receive…
cs.IR2021★ 2 cited
Why Do We Click: Visual Impression-aware News Recommendation
Jiahao Xun, Shengyu Zhang, Zhou Zhao +7
There is a soaring interest in the news recommendation research scenario due to the information overload. To accurately capture users' interests, we propose to model multi-modal fe…
cs.IR2020★ 4 cited
Open Benchmarking for Click-Through Rate Prediction
Jieming Zhu, Jinyang Liu, Shuai Yang +2
Click-through rate (CTR) prediction is a critical task for many applications, as its accuracy has a direct impact on user experience and platform revenue. In recent years, CTR pred…