CPGRec is a graph-based recommender that uses strict cross-category game connections, popularity-guided message passing, and negative-sample score reweighting to improve both accuracy and diversity on the Steam dataset.
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CPGRec+ extends a prior game recommender with signed edge reweighting and LLM-generated player/game descriptions, reporting slight accuracy and diversity gains on two Steam datasets.
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Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework
CPGRec is a graph-based recommender that uses strict cross-category game connections, popularity-guided message passing, and negative-sample score reweighting to improve both accuracy and diversity on the Steam dataset.
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CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations
CPGRec+ extends a prior game recommender with signed edge reweighting and LLM-generated player/game descriptions, reporting slight accuracy and diversity gains on two Steam datasets.