Recommendation


Recommendation is the task of providing personalized suggestions to users based on their preferences and behavior.

RecLLM-R1: A Two-Stage Training Paradigm with Reinforcement Learning and Chain-of-Thought v1

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Jun 24, 2025
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3D Arena: An Open Platform for Generative 3D Evaluation

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Jun 23, 2025
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Multi-Interest Recommendation: A Survey

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Jun 18, 2025
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Performative Validity of Recourse Explanations

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Jun 18, 2025
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Next-User Retrieval: Enhancing Cold-Start Recommendations via Generative Next-User Modeling

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Jun 18, 2025
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Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution

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Jun 18, 2025
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Transit for All: Mapping Equitable Bike2Subway Connection using Region Representation Learning

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Jun 18, 2025
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Mapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregivers

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Jun 18, 2025
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DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation

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Jun 18, 2025
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Generalized Reference Kernel With Negative Samples For Support Vector One-class Classification

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Jun 17, 2025
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