Recommendation


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

HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly

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Oct 03, 2024
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Metrics Revolutions: Groundbreaking Insights into the Implementation of Metrics for Biomedical Image Segmentation

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Oct 03, 2024
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Long-Sequence Recommendation Models Need Decoupled Embeddings

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Oct 03, 2024
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LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services

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Oct 03, 2024
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Multi-modal clothing recommendation model based on large model and VAE enhancement

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Oct 03, 2024
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BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale

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Oct 03, 2024
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Quantifying User Coherence: A Unified Framework for Cross-Domain Recommendation Analysis

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Oct 03, 2024
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A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security

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Oct 03, 2024
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Price-guided user attention in large-scale E-commerce group recommendation

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Oct 02, 2024
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Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis

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Oct 02, 2024
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