bias mitigation 1conversion rate prediction 1cross-attention 1discount modeling 1post-purchase redundancy 1recommender systems 1satiation-aware mechanisms 1self-supervised learning 1sequential recommendation 1time-frequency analysis 1user intent modeling 1
From the 2 of 3 linked papers with an AI index.
3 papers
cs.IR2026
Cascading Relevance-driven Recommendation Network for CTR Prediction in Trigger-Introduced Recommendation
Kaixuan Chen, Wenwen Wang, Xing Fang +2
E-commerce has emerged as crucial platforms for people's daily consumption and shopping interests. There is a new recommendation scenario, Trigger-Introduced Recommendation (TIR),…
cs.IR2026
Learning to Forget: Satiation-Aware Long-Sequence Transducers for Mitigating Post-Purchase Redundancy
Yipin Dai, Ruocong Tang, Xing Fang +4
The paper introduces a satiation-aware framework for sequential recommendation that detects when a purchase satisfies a user’s intent and temporarily suppresses related items, then…
cs.IR2026
Cheaper is Better: A Discount-Aware Network for Conversion Rate Prediction in E-commerce Recommendation System
Ruocong Tang, Yang Huang, Xing Fang +3
The paper introduces a Discount-Aware Network (DANet) that incorporates item discount information via Fourier-based time‑frequency analysis and bias‑mitigation modules to improve p…