12 citations · 47 across the 12 of their papers we have counts for
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cs.IR2019★ 4 cited
Learning to Recommend via Meta Parameter Partition
Liang Zhao, Yang Wang, Daxiang Dong +1
In this paper we propose to solve an important problem in recommendation -- user cold start, based on meta leaning method. Previous meta learning approaches finetune all parameters…
cs.IR2019
MBCAL: Sample Efficient and Variance Reduced Reinforcement Learning for Recommender Systems
Fan Wang, Xiaomin Fang, Lihang Liu +2
In recommender systems such as news feed stream, it is essential to optimize the long-term utilities in the continuous user-system interaction processes. Previous works have proved…
cs.IR2019★ 8 cited
Sequential Evaluation and Generation Framework for Combinatorial Recommender System
Fan Wang, Xiaomin Fang, Lihang Liu +5
In the combinatorial recommender systems, multiple items are fed to the user at one time in the result page, where the correlations among the items have impact on the user behavior…