期刊&会议

SIGIR

ACM SIGIR Conference on Research and Development in Information Retrieval · 会议 · Information Retrieval

2026-07-15 至 2026-07-15 共收录 3 篇

2607.12714 2026-07-15 cs.IR 新提交

Learning to Forget: Satiation-Aware Long-Sequence Transducers for Mitigating Post-Purchase Redundancy

学习遗忘：用于减轻购买后冗余的饱腹感感知长序列变换器

Yipin Dai, Ruocong Tang, Xing Fang, Yang Huang, Jing Wang, Zhentao Song, He Guo

AI总结针对电商场景中购买行为常意味兴趣终止，现有模型存在行动-意图不对称致购买后冗余的问题，提出饱腹感感知机制SAM，含双路径交叉注意力等三个关键组件，实验表明其显著降低购买后重复率超60%。

Journal ref Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '26), Industry Track, 2026

2607.12578 2026-07-15 cs.IR 新提交

Cheaper is Better: A Discount-Aware Network for Conversion Rate Prediction in E-commerce Recommendation System

更便宜更好：电子商务推荐系统中用于转化率预测的折扣感知网络

Ruocong Tang, Yang Huang, Xing Fang, Chenyi Yan, Chuike Sun, Jing Wang

AI总结电商推荐系统中点击后转化率预测面临诸多挑战，本文提出折扣感知网络DANet，通过时频变换、分布去偏和监督回归辅助任务建模商品折扣率与CVR关系，实验证明其能提升预测性能，已成功部署。

Journal ref Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '26), Industry Track, 2026

2607.12098 2026-07-15 cs.IR 新提交

Explaining When PRF Fails: Participatory Auditing for Selective Query Expansion

解释伪相关反馈何时失败：用于选择性查询扩展的参与式审计

Zeyan Liang, Graham McDonald, Iadh Ounis

AI总结研究PRF失败问题，提出两阶段审计然后自动化框架，第一阶段通过对用户审计揭示PRF利弊，第二阶段利用基于语言模型的重排器作预测器，解释PRF危害及决策过程，使检索组件可审计且以用户为基础。

Comments Accepted at WExIR @ SIGIR 2026, the 2nd Workshop on Explainability in Information Retrieval, Melbourne (Naarm), Australia, 24 July 2026. 3 pages, 1 figure. Extended abstract building on the SIGIR 2026 short paper "Auditing Query Drift: Do Users Actually Benefit from Pseudo-Relevance Feedback?" (doi:10.1145/3805712.3809916)