{"total":72,"rows":[{"id":"2103.01696","title":"Cross-Domain Recommendation: Challenges, Progress, and Prospects","created":"2021-03-02","cited_by_count":74,"area":null},{"id":"2212.08174","title":"Non-IID Transfer Learning on Graphs","created":"2022-12-15","cited_by_count":43,"area":null},{"id":"2110.11154","title":"Personalized Transfer of User Preferences for Cross-domain Recommendation","created":"2021-10-21","cited_by_count":34,"area":null},{"id":"2404.18465","title":"M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework","created":"2024-04-29","cited_by_count":32,"area":"moe"},{"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":"2109.05929","title":"Cross-Market Product Recommendation","created":"2021-09-13","cited_by_count":22,"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":"2108.07976","title":"A Unified Framework for Cross-Domain and Cross-System Recommendations","created":"2021-08-18","cited_by_count":19,"area":null},{"id":"2301.11467","title":"Cross-domain recommendation via user interest alignment","created":"2023-01-26","cited_by_count":19,"area":null},{"id":"2106.02768","title":"Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction","created":"2021-06-05","cited_by_count":17,"area":null},{"id":"2312.10073","title":"Data Scarcity in Recommendation Systems: A Survey","created":"2023-12-08","cited_by_count":17,"area":null},{"id":"2502.15694","title":"Image Fusion for Cross-Domain Sequential Recommendation","created":"2024-12-31","cited_by_count":17,"area":null},{"id":"2111.10093","title":"RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation","created":"2021-11-19","cited_by_count":16,"area":null},{"id":"2311.08272","title":"Mixed Attention Network for Cross-domain Sequential Recommendation","created":"2023-11-14","cited_by_count":15,"area":null},{"id":"2111.08268","title":"Pre-training Graph Neural Network for Cross Domain Recommendation","created":"2021-11-16","cited_by_count":14,"area":null},{"id":"2104.08490","title":"Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations","created":"2021-04-17","cited_by_count":12,"area":null},{"id":"2208.10174","title":"KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging","created":"2022-08-22","cited_by_count":11,"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":"2506.17966","title":"LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation","created":"2025-06-22","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":"2502.11059","title":"ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models","created":"2025-02-16","cited_by_count":9,"area":"moe"},{"id":"2109.09587","title":"Recommender systems based on graph embedding techniques: A comprehensive review","created":"2021-09-20","cited_by_count":8,"area":null},{"id":"2201.06095","title":"Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer","created":"2022-01-16","cited_by_count":8,"area":null},{"id":"2403.01387","title":"A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications","created":"2024-03-03","cited_by_count":8,"area":null},{"id":"2208.11457","title":"Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation","created":"2022-08-24","cited_by_count":7,"area":null},{"id":"2309.08420","title":"FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning","created":"2023-09-15","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":"2108.10511","title":"CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation","created":"2021-08-24","cited_by_count":4,"area":null},{"id":"2201.05861","title":"Deep Unified Representation for Heterogeneous Recommendation","created":"2022-01-15","cited_by_count":3,"area":null},{"id":"2306.05011","title":"Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce","created":"2023-06-08","cited_by_count":3,"area":"moe"},{"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":"2101.05611","title":"TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation","created":"2021-01-12","cited_by_count":2,"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":"2212.13259","title":"Modeling Time-Series and Spatial Data for Recommendations and Other Applications","created":"2022-12-25","cited_by_count":2,"area":null},{"id":"2302.14438","title":"Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation","created":"2023-02-28","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":"2403.02630","title":"FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling","created":"2024-03-05","cited_by_count":2,"area":null},{"id":"2412.15005","title":"DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation","created":"2024-12-19","cited_by_count":2,"area":null},{"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":"2403.06139","title":"Fine-grainedly Synthesize Streaming Data Based On Large Language Models With Graph Structure Understanding For Data Sparsity","created":"2024-03-10","cited_by_count":1,"area":null},{"id":"2404.08361","title":"Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework","created":"2024-04-12","cited_by_count":1,"area":null},{"id":"2407.12374","title":"Towards Unified and Adaptive Cross-Domain Collaborative Filtering via Graph Signal Processing","created":"2024-07-17","cited_by_count":1,"area":null},{"id":"2410.05877","title":"MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation","created":"2024-10-08","cited_by_count":1,"area":null},{"id":"2411.13057","title":"Learning Multi-Branch Cooperation for Enhanced Click-Through Rate Prediction at Taobao","created":"2024-11-20","cited_by_count":1,"area":null},{"id":"2511.19931","title":"LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training","created":"2025-11-25","cited_by_count":1,"area":null},{"id":"2104.12822","title":"Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts","created":"2021-04-26","cited_by_count":0,"area":null},{"id":"2107.04846","title":"Propagation-aware Social Recommendation by Transfer Learning","created":"2021-07-10","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":"2211.06365","title":"Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates","created":"2022-11-11","cited_by_count":0,"area":null},{"id":"2302.06470","title":"POSGen: Personalized Opening Sentence Generation for Online Insurance Sales","created":"2023-02-10","cited_by_count":0,"area":null},{"id":"2302.07130","title":"Market-Aware Models for Efficient Cross-Market Recommendation","created":"2023-02-14","cited_by_count":0,"area":null},{"id":"2310.11088","title":"MeKB-Rec: Personal Knowledge Graph Learning for Cross-Domain Recommendation","created":"2023-10-17","cited_by_count":0,"area":null},{"id":"2401.11705","title":"Domain-Aware Cross-Attention for Cross-domain Recommendation","created":"2024-01-22","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":"2407.20121","title":"EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation","created":"2024-07-29","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":"2411.09286","title":"A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning","created":"2024-11-14","cited_by_count":0,"area":null},{"id":"2503.04619","title":"SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling","created":"2025-03-06","cited_by_count":0,"area":null},{"id":"2503.16875","title":"Federated Cross-Domain Click-Through Rate Prediction With Large Language Model Augmentation","created":"2025-03-21","cited_by_count":0,"area":null},{"id":"2505.18177","title":"FedGRec: Dynamic Spatio-Temporal Federated Graph Learning for Secure and Efficient Cross-Border Recommendations","created":"2025-05-15","cited_by_count":0,"area":null},{"id":"2507.05142","title":"GIST: Cross-Domain Click-Through Rate Prediction via Guided Content-Behavior Distillation","created":"2025-07-07","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":"2508.16210","title":"Modeling User Preferences as Distributions for Optimal Transport-Based Cross-Domain Recommendation under Non-Overlapping Settings","created":"2025-08-22","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":"2605.17746","title":"Agents for Experiments, Experiments for Agents: A Design Grammar for AI-Enabled Experimental Science","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2607.20863","title":"Probabilistic Residual Learning for Online Recommendations","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2607.28659","title":"Empowering Cross-Domain Sequential Recommendation with Hybrid Tokenization and Serial-Parallel Decoding","created":"2026-07-21","cited_by_count":0,"area":"inference"},{"id":"2608.10929","title":"FedCGR: Federated Cross-Domain Generative Recommendation","created":"2026-08-11","cited_by_count":0,"area":null},{"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},{"id":"2610.20191","title":"HEM-Med: A Hierarchical Agentic Memory Framework for Safe Multi-Center Medication Recommendation","created":"2026-10-14","cited_by_count":0,"area":"agents"}],"next_cursor":null}