Recommendation


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

How do datasets, developers, and models affect biases in a low-resourced language?

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Jun 07, 2025
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OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion

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Jun 07, 2025
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C-PATH: Conversational Patient Assistance and Triage in Healthcare System

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Jun 07, 2025
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The State-of-the-Art in Lifelog Retrieval: A Review of Progress at the ACM Lifelog Search Challenge Workshop 2022-24

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Jun 07, 2025
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Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks

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Jun 06, 2025
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Training-Free Query Optimization via LLM-Based Plan Similarity

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Jun 06, 2025
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TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness

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Jun 06, 2025
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User Altruism in Recommendation Systems

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Jun 06, 2025
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Generating Long Semantic IDs in Parallel for Recommendation

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Jun 06, 2025
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WisWheat: A Three-Tiered Vision-Language Dataset for Wheat Management

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Jun 06, 2025
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