Jianye Ji, Jiayan Pei, Shaochuan Lin, Taotao Zhou, Hengxu He...
TL;DR利用 Multi-Granularity Attention Model (MGAM) 提出了一种新的方法,通过多个粒度(子集、群组和超集)揭示群组成员的潜在偏好并减轻推荐噪音,有效地降低群组推荐中的噪音,全面学习个人兴趣。
Abstract
group recommendation provides personalized recommendations to a group of users based on their shared interests, preferences, and characteristics. Current studies have explored different methods for integrating in