AI RESEARCH
CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations
arXiv CS.AI
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ArXi:2604.14586v1 Announce Type: cross The rapid expansion of gaming industry requires advanced recommender systems tailored to its dynamic landscape. Existing Graph Neural Network (GNN)-based methods primarily prioritize accuracy over diversity, overlooking their inherent trade-off. To address this, we previously proposed CPGRec, a balance-oriented gaming recommender system.