CPGRec improves video game recommendations on Steam by balancing accuracy and diversity through category-based game connections, popularity-guided propagation, and a new negative-sample reweighting method.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.IR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
CPGRec+ improves game recommendations on Steam data by reweighting player-game edges with signed preference strengths and using LLMs to generate preference-aware descriptions, yielding higher accuracy and diversity than prior models.
citing papers explorer
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Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework
CPGRec improves video game recommendations on Steam by balancing accuracy and diversity through category-based game connections, popularity-guided propagation, and a new negative-sample reweighting method.
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CPGRec+: A Balance-oriented Framework for Personalized Video Game Recommendations
CPGRec+ improves game recommendations on Steam data by reweighting player-game edges with signed preference strengths and using LLMs to generate preference-aware descriptions, yielding higher accuracy and diversity than prior models.