Multi-Task Recommendations with Reinforcement Learning. - Ziru Liu; Jiejie Tian; Qingpeng Cai 001; Xiangyu Zhao 001; Jingtong Gao; Shuchang Liu 006; Dayou Chen; Tonghao He; Dong Zheng; Peng Jiang 002; Kun Gai (WWW, 2023)

Joint modelling of task requirements and worker preferences based on heterogeneous features and multiple interactions for knowledge-intensive crowdsourcing recommendation. - Biyu Yang; Xu Wang; Shuai Zhang; Min Gao 001; Jiejie Tian; Guangzhu Tan; Linda Yang 002; Jiafu Su (Int. J. Bio Inspired Comput., 2023)