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Proceedings of the 17th ACM Conference on Recommender Systems

https://doi.org/10.1145/3604915
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FICLRec: Frequency enhanced intent contrastive learning for sequential recommendation
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Retrieval-enhanced, Adaptively Collaborative, and Temporal-aware user behavior comprehension for LLM-based sequential recommendation
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Humans perceive warmth and competence in artificial intelligence
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Online learning: A comprehensive survey
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Domain-aware self-prompting for cross-domain sequential recommendations with natural language explanations
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Break the Loop: Gender Imbalance in Music Recommenders
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A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback
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TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings
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Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns
inferred← citeshttps://doi.org/10.1145/3640457.3688010openalex-snapshot
Supporting Knowledge Workers through Personal Information Assistance with Context-aware Recommender Systems
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Informed Dataset Selection with ‘Algorithm Performance Spaces’
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Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings
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Mitigating Redundancy in Deep Recommender Systems: A Field Importance Distribution Perspective
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Enhancing ID-based Recommendation with Large Language Models
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Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences
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Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language
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Improving Sequential Recommendations with LLMs
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Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation
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Large Language Models Enhanced Hyperbolic Space Recommender Systems
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Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User
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From Monolith to Mosaic: Uncovering Behavioral Differences for Choice Models in Recommender Systems Simulations
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Refining Fidelity Metrics for Explainable Recommendations
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Green Recommender Systems: Understanding and Minimizing the Carbon Footprint of AI-Powered Personalization
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A Comprehensive Survey on Retrieval Methods in Recommender Systems
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Conversational Recommender Systems Using Generative Models (Gen-CRS): A Literature Review
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Empowering Job Recommendation with Large Language Models: A Generative and Attentive Approach
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Peeking into the other half of the glass : handling polarization in recommender systems.
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