51 citations · 52 across the 3 of their papers we have counts for
3 papers
cs.IR2023
Cold & Warm Net: Addressing Cold-Start Users in Recommender Systems
Xiangyu Zhang, Zongqiang Kuang, Zehao Zhang +2
Cold-start recommendation is one of the major challenges faced by recommender systems (RS). Herein, we focus on the user cold-start problem. Recently, methods utilizing side inform…
cs.IR2022★ 51 cited
Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems
Qihua Zhang, Junning Liu, Yuzhuo Dai +5
Recommender System (RS) is an important online application that affects billions of users every day. The mainstream RS ranking framework is composed of two parts: a Multi-Task Lear…
cs.NE2018★ 1 cited
Multi-Tasking Genetic Algorithm (MTGA) for Fuzzy System Optimization
Dongrui Wu, Xianfeng Tan
Multi-task learning uses auxiliary data or knowledge from relevant tasks to facilitate the learning in a new task. Multi-task optimization applies multi-task learning to optimizati…