MaHRL: Multi-goals Abstraction based Deep Hierarchical Reinforcement Learning for Recommendations

Dongyang Zhao
Dongyang Zhao
Lizhou Zheng
Lizhou Zheng
Weipeng Yan
Weipeng Yan

SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval Virtual Event China July, 2020, pp. 871-880, 2020.

Cited by: 1|Bibtex|Views49|DOI:https://doi.org/10.1145/3397271.3401170
EI
Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

As huge commercial value of the recommender system, there has been growing interest to improve its performance in recent years. The majority of existing methods have achieved great improvement on the metric of click, but perform poorly on the metric of conversion possibly due to its extremely sparse feedback signal. To track this challeng...More

Code:

Data:

Your rating :
0

 

Tags
Comments