Accurate and Diverse Recommendations via Propensity-Weighted Linear Autoencoders
通过倾向加权线性自编码器实现准确且多样的推荐
AI总结 本文提出一种基于sigmoid函数的倾向评分方法，用于改善推荐系统中推荐的准确性和多样性。
Comments Published in the proceedings of SIGIR-AP'25
Journal ref SIGIR-AP 2025: Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, pp. 153-159
