most citedRecent Advances in Diversified Recommendation

24 citations · 40 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20201 cited

ESA-ReID: Entropy-Based Semantic Feature Alignment for Person re-ID

Chaoping Tu, Yin Zhao, Longjun Cai

Person re-identification (re-ID) is a challenging task in real-world. Besides the typical application in surveillance system, re-ID also has significant values to improve the recal…

cs.IR20201 cited

RNE: A Scalable Network Embedding for Billion-scale Recommendation

Jianbin Lin, Daixin Wang, Lu Guan +5

Nowadays designing a real recommendation system has been a critical problem for both academic and industry. However, due to the huge number of users and items, the diversity and dy…

cs.CV2019

Video Affective Effects Prediction with Multi-modal Fusion and Shot-Long Temporal Context

Jie Zhang, Yin Zhao, Longjun Cai +2

Predicting the emotional impact of videos using machine learning is a challenging task considering the varieties of modalities, the complicated temporal contex of the video as well…

cs.IR201924 cited

Recent Advances in Diversified Recommendation

Qiong Wu, Yong Liu, Chunyan Miao +3

With the rapid development of recommender systems, accuracy is no longer the only golden criterion for evaluating whether the recommendation results are satisfying or not. In recen…

cs.IR201914 cited

Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation

Yong Liu, Yinan Zhang, Qiong Wu +5

Interactive recommendation that models the explicit interactions between users and the recommender system has attracted a lot of research attentions in recent years. Most previous…