{"total":151,"rows":[{"id":"2104.09036","title":"Mining Latent Structures for Multimedia Recommendation","created":"2021-04-19","cited_by_count":79,"area":null},{"id":"2104.13030","title":"A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation","created":"2021-04-27","cited_by_count":59,"area":null},{"id":"2305.14302","title":"VIP5: Towards Multimodal Foundation Models for Recommendation","created":"2023-05-23","cited_by_count":46,"area":null},{"id":"2308.11175","title":"MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation","created":"2023-08-22","cited_by_count":31,"area":null},{"id":"2106.04128","title":"Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback","created":"2021-06-08","cited_by_count":29,"area":null},{"id":"2403.10667","title":"Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond","created":"2024-03-15","cited_by_count":25,"area":"mllm"},{"id":"2402.09617","title":"LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations","created":"2024-02-14","cited_by_count":24,"area":null},{"id":"2105.06323","title":"Bootstrapping User and Item Representations for One-Class Collaborative Filtering","created":"2021-05-13","cited_by_count":22,"area":null},{"id":"2204.06519","title":"CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention","created":"2022-04-04","cited_by_count":22,"area":null},{"id":"2406.11781","title":"DiffMM: Multi-Modal Diffusion Model for Recommendation","created":"2024-06-17","cited_by_count":22,"area":"diffusion"},{"id":"2403.12384","title":"AlignRec: Aligning and Training in Multimodal Recommendations","created":"2024-03-19","cited_by_count":21,"area":null},{"id":"2204.01499","title":"FedRecAttack: Model Poisoning Attack to Federated Recommendation","created":"2022-04-01","cited_by_count":20,"area":null},{"id":"2111.00678","title":"Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation","created":"2021-11-01","cited_by_count":18,"area":null},{"id":"2402.08670","title":"Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models","created":"2024-02-13","cited_by_count":18,"area":"mllm"},{"id":"2504.16420","title":"A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms","created":"2025-04-23","cited_by_count":17,"area":"agents"},{"id":"2506.00107","title":"Gated Multimodal Graph Learning for Personalized Recommendation","created":"2025-05-30","cited_by_count":15,"area":null},{"id":"2405.15783","title":"Multimodality Invariant Learning for Multimedia-Based New Item Recommendation","created":"2024-04-28","cited_by_count":13,"area":null},{"id":"2108.01053","title":"Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders","created":"2021-08-02","cited_by_count":12,"area":null},{"id":"2207.06221","title":"Collaboration-Aware Graph Convolutional Network for Recommender Systems","created":"2022-07-03","cited_by_count":12,"area":null},{"id":"2504.05314","title":"Multimodal Quantitative Language for Generative Recommendation","created":"2025-02-20","cited_by_count":12,"area":null},{"id":"2105.14975","title":"Privileged Graph Distillation for Cold Start Recommendation","created":"2021-05-31","cited_by_count":10,"area":null},{"id":"2108.08735","title":"SiReN: Sign-Aware Recommendation Using Graph Neural Networks","created":"2021-08-19","cited_by_count":9,"area":null},{"id":"2110.14844","title":"From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems","created":"2021-10-28","cited_by_count":9,"area":null},{"id":"2410.12228","title":"Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations","created":"2024-10-16","cited_by_count":9,"area":null},{"id":"2411.00163","title":"PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation","created":"2024-10-31","cited_by_count":9,"area":null},{"id":"2508.05673","title":"Breaking the Top-$K$ Barrier: Advancing Top-$K$ Ranking Metrics Optimization in Recommender Systems","created":"2025-08-04","cited_by_count":9,"area":null},{"id":"2309.15363","title":"LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation","created":"2023-09-27","cited_by_count":8,"area":"diffusion"},{"id":"2407.12338","title":"GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation","created":"2024-07-17","cited_by_count":8,"area":null},{"id":"2409.05878","title":"CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems","created":"2024-08-25","cited_by_count":8,"area":null},{"id":"2107.14768","title":"Debiased Explainable Pairwise Ranking from Implicit Feedback","created":"2021-07-30","cited_by_count":7,"area":null},{"id":"2201.03144","title":"Supervised Contrastive Learning for Recommendation","created":"2022-01-10","cited_by_count":7,"area":null},{"id":"2409.02599","title":"A Fashion Item Recommendation Model in Hyperbolic Space","created":"2024-09-04","cited_by_count":7,"area":null},{"id":"2505.09777","title":"A Survey on Large Language Models in Multimodal Recommender Systems","created":"2025-05-14","cited_by_count":7,"area":null},{"id":"2206.14649","title":"Cooperative Retriever and Ranker in Deep Recommenders","created":"2022-06-28","cited_by_count":6,"area":null},{"id":"2307.15960","title":"Recommendation Unlearning via Matrix Correction","created":"2023-07-29","cited_by_count":6,"area":null},{"id":"2402.11262","title":"Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima","created":"2024-02-17","cited_by_count":6,"area":null},{"id":"2410.11327","title":"Sequential LLM Framework for Fashion Recommendation","created":"2024-10-15","cited_by_count":6,"area":null},{"id":"2410.22013","title":"Modeling Temporal Positive and Negative Excitation for Sequential Recommendation","created":"2024-10-29","cited_by_count":6,"area":null},{"id":"2505.19505","title":"Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model","created":"2025-05-26","cited_by_count":6,"area":"lr"},{"id":"2512.01372","title":"Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation","created":"2025-12-01","cited_by_count":6,"area":null},{"id":"2205.02923","title":"End-to-End Image-Based Fashion Recommendation","created":"2022-05-05","cited_by_count":5,"area":null},{"id":"2305.18885","title":"Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation","created":"2023-05-30","cited_by_count":5,"area":null},{"id":"2306.14179","title":"Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation","created":"2023-06-25","cited_by_count":5,"area":null},{"id":"2312.15826","title":"Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion","created":"2023-12-25","cited_by_count":5,"area":"diffusion"},{"id":"2408.06360","title":"Modality-Balanced Learning for Multimedia Recommendation","created":"2024-07-26","cited_by_count":5,"area":"distill"},{"id":"2512.16891","title":"LinkedOut: Linking World Knowledge Representation Out of Video LLM for Next-Generation Video Recommendation","created":"2025-12-18","cited_by_count":5,"area":null},{"id":"2103.08971","title":"TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation","created":"2021-03-16","cited_by_count":4,"area":null},{"id":"2111.00905","title":"Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry","created":"2021-10-28","cited_by_count":4,"area":null},{"id":"2405.10436","title":"Positional encoding is not the same as context: A study on positional encoding for sequential recommendation","created":"2024-05-16","cited_by_count":4,"area":null},{"id":"2407.19886","title":"A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation","created":"2024-07-29","cited_by_count":4,"area":null},{"id":"2412.04107","title":"Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models","created":"2024-12-05","cited_by_count":4,"area":null},{"id":"2501.07110","title":"Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation","created":"2025-01-13","cited_by_count":4,"area":null},{"id":"2503.23312","title":"LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation","created":"2025-03-30","cited_by_count":4,"area":"mllm"},{"id":"2504.16352","title":"Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios","created":"2025-04-23","cited_by_count":4,"area":null},{"id":"2602.00682","title":"RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment","created":"2026-01-31","cited_by_count":4,"area":null},{"id":"2303.08182","title":"The Elements of Visual Art Recommendation: Learning Latent Semantic Representations of Paintings","created":"2023-02-28","cited_by_count":3,"area":null},{"id":"2308.04706","title":"Pareto Invariant Representation Learning for Multimedia Recommendation","created":"2023-08-09","cited_by_count":3,"area":null},{"id":"2308.08072","title":"Decentralized Graph Neural Network for Privacy-Preserving Recommendation","created":"2023-08-15","cited_by_count":3,"area":null},{"id":"2308.14753","title":"Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond","created":"2023-08-28","cited_by_count":3,"area":null},{"id":"2309.01188","title":"Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems","created":"2023-09-03","cited_by_count":3,"area":null},{"id":"2311.05956","title":"ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation","created":"2023-11-10","cited_by_count":3,"area":null},{"id":"2312.09511","title":"MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation","created":"2023-12-15","cited_by_count":3,"area":null},{"id":"2502.12958","title":"Preventing the Popular Item Embedding Based Attack in Federated Recommendations","created":"2025-02-18","cited_by_count":3,"area":null},{"id":"2502.13180","title":"Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization","created":"2025-02-18","cited_by_count":3,"area":null},{"id":"2508.04571","title":"Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation","created":"2025-08-06","cited_by_count":3,"area":null},{"id":"2601.14697","title":"When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study","created":"2026-01-21","cited_by_count":3,"area":null},{"id":"2606.28357","title":"ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation","created":"2026-06-08","cited_by_count":3,"area":"agents"},{"id":"2205.02711","title":"Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling","created":"2022-05-05","cited_by_count":2,"area":null},{"id":"2207.05648","title":"Docent: A content-based recommendation system to discover contemporary art","created":"2022-07-12","cited_by_count":2,"area":null},{"id":"2210.11907","title":"Collaborative Image Understanding","created":"2022-10-21","cited_by_count":2,"area":null},{"id":"2306.05001","title":"COURIER: Contrastive User Intention Reconstruction for Large-Scale Visual Recommendation","created":"2023-06-08","cited_by_count":2,"area":null},{"id":"2307.03691","title":"Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews","created":"2023-07-05","cited_by_count":2,"area":null},{"id":"2308.07222","title":"MM-GEF: Multi-modal representation meet collaborative filtering","created":"2023-08-14","cited_by_count":2,"area":null},{"id":"2309.07594","title":"Neuro-Symbolic Recommendation Model based on Logic Query","created":"2023-09-14","cited_by_count":2,"area":null},{"id":"2312.06145","title":"Proxy-based Item Representation for Attribute and Context-aware Recommendation","created":"2023-12-11","cited_by_count":2,"area":null},{"id":"2502.09046","title":"Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation","created":"2025-02-13","cited_by_count":2,"area":null},{"id":"2503.04406","title":"Training-free Adjustable Polynomial Graph Filtering for Ultra-fast Multimodal Recommendation","created":"2025-03-06","cited_by_count":2,"area":null},{"id":"2504.16576","title":"MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation","created":"2025-04-23","cited_by_count":2,"area":null},{"id":"2506.15120","title":"Advancing Loss Functions in Recommender Systems: A Comparative Study with a R\\'enyi Divergence-Based Solution","created":"2025-06-18","cited_by_count":2,"area":null},{"id":"2508.06154","title":"Semantic Item Graph Enhancement for Multimodal Recommendation","created":"2025-08-08","cited_by_count":2,"area":null},{"id":"2508.11105","title":"Hybrid-Hierarchical Fashion Graph Attention Network for Compatibility-Oriented and Personalized Outfit Recommendation","created":"2025-08-14","cited_by_count":2,"area":null},{"id":"2508.18166","title":"PCR-CA: Parallel Codebook Representations with Contrastive Alignment for Multiple-Category App Recommendation","created":"2025-08-25","cited_by_count":2,"area":null},{"id":"2602.11799","title":"Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendation","created":"2026-02-12","cited_by_count":2,"area":null},{"id":"2603.01590","title":"IDProxy: CTR Prediction with Multimodal LLMs for Cold-Start Recommendation at Xiaohongshu","created":"2026-03-02","cited_by_count":2,"area":null},{"id":"2306.07992","title":"Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework","created":"2023-06-11","cited_by_count":1,"area":null},{"id":"2405.17959","title":"Attention-based sequential recommendation system using multimodal data","created":"2024-05-28","cited_by_count":1,"area":null},{"id":"2406.13195","title":"Learning Translations via Matrix Completion","created":"2024-06-19","cited_by_count":1,"area":null},{"id":"2408.00312","title":"Adversarial Text Rewriting for Text-aware Recommender Systems","created":"2024-08-01","cited_by_count":1,"area":null},{"id":"2410.08478","title":"Federated Vision-Language-Recommendation with Personalized Fusion","created":"2024-10-11","cited_by_count":1,"area":"mllm"},{"id":"2506.02261","title":"What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context","created":"2025-06-02","cited_by_count":1,"area":"alignment"},{"id":"2508.04963","title":"A Metric for MLLM Alignment in Large-scale Recommendation","created":"2025-08-07","cited_by_count":1,"area":"mllm"},{"id":"2509.07499","title":"Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks","created":"2025-09-09","cited_by_count":1,"area":null},{"id":"2510.05125","title":"Catalog-Native LLM: Speaking Item-ID Dialect with Less Entanglement for Recommendation","created":"2025-09-30","cited_by_count":1,"area":"lr"},{"id":"2601.19276","title":"Talos: Optimizing Top-$K$ Accuracy in Recommender Systems","created":"2026-01-27","cited_by_count":1,"area":null},{"id":"2601.19750","title":"Benchmarking Multimodal Large Language Models for Missing Modality Completion in Product Catalogues","created":"2026-01-27","cited_by_count":1,"area":"mllm"},{"id":"2602.11062","title":"MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommendation","created":"2026-02-11","cited_by_count":1,"area":null},{"id":"2604.07788","title":"PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context","created":"2026-04-09","cited_by_count":1,"area":null},{"id":"2605.27737","title":"Bounded-Compute Multimodal Regression for Product-Rating Prediction","created":"2026-05-26","cited_by_count":1,"area":"mllm"},{"id":"2606.21540","title":"Memory Is No Longer a Bottleneck: Memory-Efficient Graph Filtering for Scalable Collaborative Filtering","created":"2026-06-19","cited_by_count":1,"area":null},{"id":"2103.06105","title":"BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism","created":"2021-03-10","cited_by_count":0,"area":null}],"next_cursor":"100"}