Recommendation


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

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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A General Framework for Off-Policy Learning with Partially-Observed Reward

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Jun 17, 2025
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A Systematic Replicability and Comparative Study of BSARec and SASRec for Sequential Recommendation

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Jun 17, 2025
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Controlling Context: Generative AI at Work in Integrated Circuit Design and Other High-Precision Domains

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Jun 17, 2025
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Evaluation Should Not Ignore Variation: On the Impact of Reference Set Choice on Summarization Metrics

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Jun 17, 2025
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Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent

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Jun 17, 2025
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