45 citations · 92 across the 11 of their papers we have counts for
5 papers · 1 filter
Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework
Xiping Li, Jianghong Ma, Kangzhe Liu +3
In recent years, the video game industry has experienced substantial growth, presenting players with a vast array of game choices. This surge in options has spurred the need for a…
CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations
Xiping Li, Aier Yang, Jianghong Ma +4
The rapid expansion of gaming industry requires advanced recommender systems tailored to its dynamic landscape. Existing Graph Neural Network (GNN)-based methods primarily prioriti…
DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences
Kangzhe Liu, Jianghong Ma, Shanshan Feng +2
The growing popularity of subscription services in video game consumption has emphasized the importance of offering diversified recommendations. Providing users with a diverse rang…
Collaborative Residual Metric Learning
Tianjun Wei, Jianghong Ma, Tommy W. S. Chow
In collaborative filtering, distance metric learning has been applied to matrix factorization techniques with promising results. However, matrix factorization lacks the ability of…
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation
Tianjun Wei, Jianghong Ma, Tommy W. S. Chow
Collaborative filtering (CF) is widely searched in recommendation with various types of solutions. Recent success of Graph Convolution Networks (GCN) in CF demonstrates the effecti…