{"total":74,"rows":[{"id":"2203.13366","title":"Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)","created":"2022-03-24","cited_by_count":402,"area":null},{"id":"2305.08845","title":"Large Language Models are Zero-Shot Rankers for Recommender Systems","created":"2023-05-15","cited_by_count":309,"area":null},{"id":"2303.14524","title":"Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System","created":"2023-03-25","cited_by_count":242,"area":null},{"id":"2206.05941","title":"Towards Universal Sequence Representation Learning for Recommender Systems","created":"2022-06-13","cited_by_count":121,"area":null},{"id":"2210.12316","title":"Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders","created":"2022-10-22","cited_by_count":112,"area":null},{"id":"2105.06339","title":"Graph Learning based Recommender Systems: A Review","created":"2021-05-13","cited_by_count":59,"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":"2108.03357","title":"A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions","created":"2021-08-07","cited_by_count":30,"area":null},{"id":"2202.04893","title":"Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation","created":"2022-02-10","cited_by_count":22,"area":null},{"id":"2301.11467","title":"Cross-domain recommendation via user interest alignment","created":"2023-01-26","cited_by_count":19,"area":null},{"id":"2406.12529","title":"LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation","created":"2024-06-18","cited_by_count":19,"area":null},{"id":"2506.21579","title":"LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation","created":"2025-06-16","cited_by_count":19,"area":null},{"id":"2407.05441","title":"Language Representations Can be What Recommenders Need: Findings and Potentials","created":"2024-07-07","cited_by_count":18,"area":null},{"id":"2202.07253","title":"Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation","created":"2022-02-15","cited_by_count":17,"area":null},{"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":"2111.08268","title":"Pre-training Graph Neural Network for Cross Domain Recommendation","created":"2021-11-16","cited_by_count":14,"area":null},{"id":"2202.04920","title":"Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation","created":"2022-02-10","cited_by_count":14,"area":null},{"id":"2407.11245","title":"Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation","created":"2024-07-15","cited_by_count":13,"area":null},{"id":"2209.10163","title":"DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation","created":"2022-09-21","cited_by_count":11,"area":null},{"id":"2303.06095","title":"HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction","created":"2023-03-10","cited_by_count":11,"area":"moe"},{"id":"2403.02619","title":"Training Machine Learning models at the Edge: A Survey","created":"2024-03-05","cited_by_count":11,"area":null},{"id":"2305.16163","title":"PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation","created":"2023-05-11","cited_by_count":9,"area":null},{"id":"2410.08249","title":"Federated Graph Learning for Cross-Domain Recommendation","created":"2024-10-10","cited_by_count":9,"area":null},{"id":"2410.13117","title":"Preference Diffusion for Recommendation","created":"2024-10-17","cited_by_count":9,"area":null},{"id":"2112.07191","title":"An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering","created":"2021-12-14","cited_by_count":8,"area":null},{"id":"2502.15054","title":"GiGL: Large-Scale Graph Neural Networks at Snapchat","created":"2025-02-20","cited_by_count":8,"area":null},{"id":"2306.16425","title":"A Collaborative Transfer Learning Framework for Cross-domain Recommendation","created":"2023-06-26","cited_by_count":7,"area":null},{"id":"2308.05508","title":"Multi-domain Recommendation with Embedding Disentangling and Domain Alignment","created":"2023-08-10","cited_by_count":7,"area":null},{"id":"2311.13188","title":"Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation","created":"2023-11-22","cited_by_count":7,"area":null},{"id":"2504.04405","title":"Universal Item Tokenization for Transferable Generative Recommendation","created":"2025-04-06","cited_by_count":7,"area":null},{"id":"2206.08050","title":"Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation","created":"2022-06-16","cited_by_count":6,"area":null},{"id":"2206.08088","title":"Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation","created":"2022-06-16","cited_by_count":6,"area":null},{"id":"2403.03600","title":"A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation","created":"2024-03-06","cited_by_count":5,"area":null},{"id":"2406.18470","title":"UniRec: A Dual Enhancement of Uniformity and Frequency in Sequential Recommendations","created":"2024-06-26","cited_by_count":4,"area":null},{"id":"2408.07278","title":"Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction","created":"2024-08-03","cited_by_count":4,"area":null},{"id":"2402.02182","title":"Diffusion Cross-domain Recommendation","created":"2024-02-03","cited_by_count":3,"area":null},{"id":"2406.02368","title":"Large Language Models Make Sample-Efficient Recommender Systems","created":"2024-06-04","cited_by_count":3,"area":null},{"id":"2505.21811","title":"Revisiting Self-attention for Cross-domain Sequential Recommendation","created":"2025-05-27","cited_by_count":3,"area":null},{"id":"2110.12648","title":"Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation","created":"2021-10-25","cited_by_count":2,"area":null},{"id":"2210.12940","title":"Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems","created":"2022-10-24","cited_by_count":2,"area":null},{"id":"2310.19251","title":"Pre-trained Recommender Systems: A Causal Debiasing Perspective","created":"2023-10-30","cited_by_count":2,"area":null},{"id":"2506.18382","title":"PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching","created":"2025-06-23","cited_by_count":2,"area":null},{"id":"2605.09794","title":"LLM Agents Enable User-Governed Personalization Beyond Platform Boundaries","created":"2026-05-10","cited_by_count":2,"area":"agents"},{"id":"2402.19101","title":"Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation","created":"2024-02-29","cited_by_count":1,"area":null},{"id":"2405.12473","title":"Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation","created":"2024-05-21","cited_by_count":1,"area":null},{"id":"2406.16494","title":"Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach","created":"2024-06-24","cited_by_count":1,"area":null},{"id":"2504.07102","title":"Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation","created":"2025-03-11","cited_by_count":1,"area":null},{"id":"2504.10512","title":"JEPA4Rec: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture","created":"2025-04-10","cited_by_count":1,"area":null},{"id":"2509.02942","title":"RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation","created":"2025-09-03","cited_by_count":1,"area":null},{"id":"2604.09551","title":"SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2606.00282","title":"Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems","created":"2026-05-29","cited_by_count":1,"area":"synth"},{"id":"2109.12400","title":"Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis","created":"2021-09-25","cited_by_count":0,"area":null},{"id":"2110.13340","title":"Decentralized Multi-Target Cross-Domain Recommendation for Multi-Organization Collaborations","created":"2021-10-26","cited_by_count":0,"area":null},{"id":"2112.00979","title":"Recommending with Recommendations","created":"2021-12-02","cited_by_count":0,"area":null},{"id":"2112.07617","title":"A cross-domain recommender system using deep coupled autoencoders","created":"2021-12-08","cited_by_count":0,"area":null},{"id":"2206.13255","title":"Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation","created":"2022-06-27","cited_by_count":0,"area":null},{"id":"2209.01031","title":"GReS: Graphical Cross-domain Recommendation for Supply Chain Platform","created":"2022-09-02","cited_by_count":0,"area":null},{"id":"2306.06302","title":"Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application","created":"2023-06-09","cited_by_count":0,"area":null},{"id":"2403.10049","title":"PPM : A Pre-trained Plug-in Model for Click-through Rate Prediction","created":"2024-03-15","cited_by_count":0,"area":null},{"id":"2403.20298","title":"Review-Based Hyperbolic Cross-Domain Recommendation","created":"2024-03-29","cited_by_count":0,"area":null},{"id":"2404.04481","title":"Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement","created":"2024-04-06","cited_by_count":0,"area":null},{"id":"2405.17132","title":"Your decision path does matter in pre-training industrial recommenders with multi-source behaviors","created":"2024-05-27","cited_by_count":0,"area":null},{"id":"2407.18937","title":"Advancements in Recommender Systems: A Comprehensive Analysis Based on Data, Algorithms, and Evaluation","created":"2024-07-10","cited_by_count":0,"area":null},{"id":"2409.15568","title":"Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization","created":"2024-09-23","cited_by_count":0,"area":null},{"id":"2410.10835","title":"DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation","created":"2024-09-29","cited_by_count":0,"area":null},{"id":"2410.15656","title":"LightFusionRec: Lightweight Transformers-Based Cross-Domain Recommendation Model","created":"2024-10-21","cited_by_count":0,"area":null},{"id":"2507.12871","title":"Generative Multi-Target Cross-Domain Recommendation","created":"2025-07-17","cited_by_count":0,"area":null},{"id":"2507.21120","title":"Affect-aware Cross-Domain Recommendation for Art Therapy via Music Preference Elicitation","created":"2025-07-18","cited_by_count":0,"area":null},{"id":"2508.19620","title":"A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions","created":"2025-08-27","cited_by_count":0,"area":null},{"id":"2510.14641","title":"Causality Enhancement for Cross-Domain Recommendation","created":"2025-10-16","cited_by_count":0,"area":null},{"id":"2510.22799","title":"Inductive Transfer Learning for Graph-Based Recommenders","created":"2025-10-26","cited_by_count":0,"area":null},{"id":"2511.14770","title":"ExplainRec: Towards Explainable Multi-Modal Zero-Shot Recommendation with Preference Attribution and Large Language Models","created":"2025-10-03","cited_by_count":0,"area":null},{"id":"2606.24605","title":"ScaleToT: Generalizing Structured LLM Reasoning for Billion-Scale Low-Activity User Modeling","created":"2026-06-23","cited_by_count":0,"area":"lr"},{"id":"2609.04870","title":"CHAMP: Cross-domain Hybrid Architecture for Matchmaking and Prediction in Online Multi-Player Games","created":"2026-09-04","cited_by_count":0,"area":null}],"next_cursor":null}