Amazon
Emerging50papers using it
2018first seen
The 'Amazon' dataset contains user interaction data related to product recommendations and is used to evaluate the impact of generative recommenders on information cocoon formation in recommendation systems.
Papers using Amazon (50)
- Do Generative Recommenders Deepen the Information Cocoon? A Closed-Loop Simulation with LLM-powered User SimulatorsLeveraging Multimodal Data and Side Users for Diffusion Cross-Domain RecommendationFACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for
Enabling Fair LLM-Based Recommender SystemsGated Multimodal Graph Learning for Personalized RecommendationJoint Similarity Item Exploration and Overlapped User Guidance for
Multi-Modal Cross-Domain RecommendationAnchored Alignment: Preventing Positional Collapse in Multimodal Recommender SystemsAligning Multimodal Sequential Recommendations via Robust Direct Preference Optimization with Sparse MoEReasoning-guided Collaborative Filtering with Language Models for Explainable RecommendationMultimodal Enhancement of Sequential RecommendationAMEM4Rec: Leveraging Cross-User Similarity for Memory Evolution in Agentic LLM RecommendersChainRec: An Agentic Recommender Learning to Route Tool Chains for Diverse and Evolving InterestsReasoning to Rank: An End-to-End Solution for Exploiting Large Language Models for RecommendationE-MMKGR: A Unified Multimodal Knowledge Graph Framework for E-commerce ApplicationsQ-BERT4Rec: Quantized Semantic-ID Representation Learning for Multimodal RecommendationOpenOneRec Technical ReportExplainRec: Towards Explainable Multi-Modal Zero-Shot Recommendation with Preference Attribution and Large Language ModelsRASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic IdentifiersBenchmarking In-context Experiential Learning Through Repeated Product RecommendationsGaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential RecommendationFrom Generation to Consumption: Personalized List Value Estimation for Re-rankingC-TLSAN: Content-Enhanced Time-Aware Long- and Short-Term Attention Network for Personalized RecommendationX-Cross: Dynamic Integration of Language Models for Cross-Domain
Sequential RecommendationLLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario RecommendationPositional encoding is not the same as context: A study on positional
encoding for sequential recommendationMulti-Pointer Co-Attention Networks for RecommendationControllable Multi-Interest Framework for RecommendationExplainable Recommendation via Multi-Task Learning in Opinionated Text
DataTransfer-Meta Framework for Cross-domain Recommendation to Cold-Start
UsersRecSys-DAN: Discriminative Adversarial Networks for Cross-Domain
Recommender SystemsGraph Convolution Machine for Context-aware Recommender SystemExploring Periodicity and Interactivity in Multi-Interest Framework for
Sequential RecommendationExploiting Variational Domain-Invariant User Embedding for Partially
Overlapped Cross Domain RecommendationLRMM: Learning to Recommend with Missing ModalitiesLarge Language Models as Data Augmenters for Cold-Start Item
RecommendationLeveraging Review Properties for Effective RecommendationPPGenCDR: A Stable and Robust Framework for Privacy-Preserving
Cross-Domain RecommendationNeighborhood-based Hard Negative Mining for Sequential RecommendationJoint Training Capsule Network for Cold Start RecommendationOn Popularity Bias of Multimodal-aware Recommender Systems: a
Modalities-driven AnalysisUncertainty-Aware Explainable Recommendation with Large Language ModelsGhostLink: Latent Network Inference for Influence-aware RecommendationFairness-aware Differentially Private Collaborative FilteringCollaborative Filtering with Attribution Alignment for Review-based
Non-overlapped Cross Domain RecommendationRating and aspect-based opinion graph embeddings for explainable
recommendationsLLM-KT: A Versatile Framework for Knowledge Transfer from Large Language
Models to Collaborative FilteringRecommending Burgers based on Pizza Preferences: Addressing Data
Sparsity with a Product of ExpertsGraphing else matters: exploiting aspect opinions and ratings in
explainable graph-based recommendationsCausality and Correlation Graph Modeling for Effective and Explainable
Session-based RecommendationAttention-based sequential recommendation system using multimodal dataExploring User Retrieval Integration towards Large Language Models for
Cross-Domain Sequential Recommendation