Recommendation


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

User-item fairness tradeoffs in recommendations

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Dec 05, 2024
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Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems

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Dec 05, 2024
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AL-QASIDA: Analyzing LLM Quality and Accuracy Systematically in Dialectal Arabic

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Dec 05, 2024
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Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models

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Dec 05, 2024
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AI4EF: Artificial Intelligence for Energy Efficiency in the Building Sector

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Dec 05, 2024
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Learning to Hash for Recommendation: A Survey

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Dec 05, 2024
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Towards Data Governance of Frontier AI Models

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Dec 05, 2024
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LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence Embeddings

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Dec 05, 2024
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A Contemporary Overview: Trends and Applications of Large Language Models on Mobile Devices

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Dec 04, 2024
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Recommender Systems for Sustainability: Overview and Research Issues

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Dec 04, 2024
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