no code implementations • 16 Jul 2018 • Guo Huifeng, Tang Ruiming, Ye Yunming, Liu Feng, Zhang Yuzhou
However, it neglects the co-occurrence information of items in the historical behavior which is interacted earlier and cannot discriminate the impact of items and sessions with different popularity.
no code implementations • 23 Feb 2018 • Liu Feng, Tang Ruiming, Li Xutao, Ye Yunming, Guo Huifeng, He Xiuqiang
Recently, some studies have utilized the Markov Decision Process for diversifying (MDP-DIV) the search results in information retrieval.
no code implementations • 29 Nov 2016 • Guo Huifeng, Tang Ruiming, Ye Yunming, Li Zhenguo, He Xiuqiang
The majority of the recommendation systems are pull-mode, which recommend items to users only when and after users enter Application Market.