Amazon datasets

The 'Amazon datasets' contains user interaction data from Amazon and is used to evaluate the performance of algorithms in collaborative filtering, particularly in terms of accuracy and fairness across different user engagement levels.

Papers using Amazon datasets (51)

Enhanced Recommender System with Sentiment Analysis of Review Text and SBERT Embeddings of Item Descriptions2026 · 1 citesDeep recommendation algorithm based on reviews and descriptions neural matrix factorization under cold-start2026 · 1 citesFACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems2025 · 2 citesDo Generative Recommenders Deepen the Information Cocoon? A Closed-Loop Simulation with LLM-powered User Simulators2026Gated Multimodal Graph Learning for Personalized Recommendation2025 · 1 citesJoint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation2025 · 1 citesDREAM: Dynamic Refinement of Early Assignment Mappings2026Anchored Alignment: Preventing Positional Collapse in Multimodal Recommender Systems2026Aligning Multimodal Sequential Recommendations via Robust Direct Preference Optimization with Sparse MoE2026Reasoning-guided Collaborative Filtering with Language Models for Explainable Recommendation2026Multimodal Enhancement of Sequential Recommendation2026AMEM4Rec: Leveraging Cross-User Similarity for Memory Evolution in Agentic LLM Recommenders2026ChainRec: An Agentic Recommender Learning to Route Tool Chains for Diverse and Evolving Interests2026Reasoning to Rank: An End-to-End Solution for Exploiting Large Language Models for Recommendation2026E-MMKGR: A Unified Multimodal Knowledge Graph Framework for E-commerce Applications2026Explaining Group Recommendations via Counterfactuals2026Q-BERT4Rec: Quantized Semantic-ID Representation Learning for Multimodal Recommendation2025Structural and Disentangled Adaptation of Large Vision Language Models for Multimodal Recommendation2025Enhancing Multimodal Recommendations with Vision-Language Models and Information-Aware Fusion2025ExplainRec: Towards Explainable Multi-Modal Zero-Shot Recommendation with Preference Attribution and Large Language Models2025RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers2025Benchmarking In-context Experiential Learning Through Repeated Product Recommendations2025Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation2025C-TLSAN: Content-Enhanced Time-Aware Long- and Short-Term Attention Network for Personalized Recommendation2025X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation2025LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation2024 · 13 citesPositional encoding is not the same as context: A study on positional encoding for sequential recommendation2024Multi-Pointer Co-Attention Networks for Recommendation2018 · 305 citesControllable Multi-Interest Framework for Recommendation2020 · 298 citesExplainable Recommendation via Multi-Task Learning in Opinionated Text Data2018 · 237 citesRecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems2019 · 92 citesExploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation2021 · 63 citesExploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation2022 · 53 citesLRMM: Learning to Recommend with Missing Modalities2018 · 35 citesLarge Language Models as Data Augmenters for Cold-Start Item Recommendation2024 · 32 citesLeveraging Review Properties for Effective Recommendation2021 · 28 citesPPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation2023 · 22 citesNeighborhood-based Hard Negative Mining for Sequential Recommendation2023 · 22 citesJoint Training Capsule Network for Cold Start Recommendation2020 · 17 citesOn Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven Analysis2023 · 9 citesUncertainty-Aware Explainable Recommendation with Large Language Models2024 · 9 citesGhostLink: Latent Network Inference for Influence-aware Recommendation2019 · 7 citesFairness-aware Differentially Private Collaborative Filtering2023 · 6 citesCollaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation2022 · 5 citesRating and aspect-based opinion graph embeddings for explainable recommendations2021 · 3 citesLLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering2024 · 1 citesRecommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts2021Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations2021Causality and Correlation Graph Modeling for Effective and Explainable Session-based Recommendation2022Attention-based sequential recommendation system using multimodal data2024Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation2024