361 citations · 393 across the 6 of their papers we have counts for
6 papers
Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations
Yan Zhao, Shoujin Wang, Yan Wang +1
Recommender systems have played an increasingly important role in providing users with tailored suggestions based on their preferences. However, the conventional offline recommende…
Double-Wing Mixture of Experts for Streaming Recommendations
Yan Zhao, Shoujin Wang, Yan Wang +2
Streaming Recommender Systems (SRSs) commonly train recommendation models on newly received data only to address user preference drift, i.e., the changing user preferences towards…
Graph Learning Approaches to Recommender Systems: A Review
Shoujin Wang, Liang Hu, Yan Wang +7
Recent years have witnessed the fast development of the emerging topic of Graph Learning based Recommender Systems (GLRS). GLRS mainly employ the advanced graph learning approaches…
Updates-Aware Graph Pattern based Node Matching
Guohao Sun, Guanfeng Liu, Yan Wang +1
Graph Pattern based Node Matching (GPNM) is to find all the matches of the nodes in a data graph GD based on a given pattern graph GP. GPNM has become increasingly important in man…
Sequential Recommender Systems: Challenges, Progress and Prospects
Shoujin Wang, Liang Hu, Yan Wang +3
The emerging topic of sequential recommender systems has attracted increasing attention in recent years.Different from the conventional recommender systems including collaborative…
Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling
Mengying Zhu, Xiaolin Zheng, Yan Wang +2
As the cornerstone of modern portfolio theory, Markowitz's mean-variance optimization is considered a major model adopted in portfolio management. However, due to the difficulty of…