60 citations · 65 across the 4 of their papers we have counts for
3 papers · 1 filter
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
Yushen Li, Jinpeng Wang, Tao Dai +4
Predicting click-through rates (CTR) is a fundamental task for Web applications, where a key issue is to devise effective models for feature interactions. Current methodologies pre…
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers
Jun Yuan, Kaustav Bhattacharjee, Akm Zahirul Islam +1
Ranking schemes drive many real-world decisions, like, where to study, whom to hire, what to buy, etc. Many of these decisions often come with high consequences. For example, a uni…
MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation
Jinpeng Wang, Ziyun Zeng, Yunxiao Wang +7
The goal of sequential recommendation (SR) is to predict a user's potential interested items based on her/his historical interaction sequences. Most existing sequential recommender…