Amazon
Emerging56papers using it
2013first seen
Papers using Amazon (56)
- Enhanced Recommender System with Sentiment Analysis of Review Text and SBERT Embeddings of Item DescriptionsDeep recommendation algorithm based on reviews and descriptions neural matrix factorization under cold-startFACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender SystemsDo Generative Recommenders Deepen the Information Cocoon? A Closed-Loop Simulation with LLM-powered User SimulatorsGated Multimodal Graph Learning for Personalized RecommendationJoint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain RecommendationDREAM: Dynamic Refinement of Early Assignment MappingsAnchored 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 ApplicationsExplaining Group Recommendations via CounterfactualsQ-BERT4Rec: Quantized Semantic-ID Representation Learning for Multimodal RecommendationStructural and Disentangled Adaptation of Large Vision Language Models for Multimodal RecommendationEnhancing Multimodal Recommendations with Vision-Language Models and Information-Aware FusionExplainRec: 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 RecommendationC-TLSAN: Content-Enhanced Time-Aware Long- and Short-Term Attention Network for Personalized RecommendationX-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential RecommendationAgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web PlatformsLLM4MSR: 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 DataRecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender SystemsExploring Periodicity and Interactivity in Multi-Interest Framework for Sequential RecommendationExploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain RecommendationLarge Language Models as Data Augmenters for Cold-Start Item RecommendationLRMM: Learning to Recommend with Missing ModalitiesLeveraging 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 recommendationsConsistence beats causality in recommender systemsEvaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity MetricLLM-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 RecommendationDADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender SystemsAttention-based sequential recommendation system using multimodal dataExploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential RecommendationInformation filtering in sparse online systems: recommendation via semi-local diffusion