{"total":14,"rows":[{"id":"2507.16289","title":"Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders","created":"2025-07-22","cited_by_count":12,"area":null},{"id":"2502.13909","title":"Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?","created":"2025-02-19","cited_by_count":8,"area":null},{"id":"2409.07272","title":"RePlay: a Recommendation Framework for Experimentation and Production Use","created":"2024-09-11","cited_by_count":3,"area":null},{"id":"2509.01549","title":"Ultra Fast Warm Start Solution for Graph Recommendations","created":"2025-09-01","cited_by_count":2,"area":null},{"id":"2507.19473","title":"Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization","created":"2025-07-25","cited_by_count":1,"area":null},{"id":"2409.15558","title":"Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems","created":"2024-09-23","cited_by_count":0,"area":null},{"id":"2502.10205","title":"Looking around you: external information enhances representations for event sequences","created":"2025-02-14","cited_by_count":0,"area":null},{"id":"2505.12526","title":"Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision","created":"2025-05-18","cited_by_count":0,"area":null},{"id":"2510.05856","title":"How to model Human Actions distribution with Event Sequence Data","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2602.19339","title":"SplitLight: An Exploratory Toolkit for Recommender Systems Datasets and Splits","created":"2026-02-22","cited_by_count":0,"area":null},{"id":"2602.23471","title":"Cross-Representation Knowledge Transfer for Improved Sequential Recommendations","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2604.17259","title":"HORIZON: A Benchmark for In-the-wild User Behaviour Modeling","created":"2026-04-19","cited_by_count":0,"area":null},{"id":"2606.07492","title":"Bradley-Terry Rankings for Recommender Systems Across Dataset Taxonomies","created":"2026-06-05","cited_by_count":0,"area":null},{"id":"2608.14021","title":"Residual Dominance as a Structural Account of Last-Item Reliance in Causal Self-Attention Recommenders","created":"2026-08-14","cited_by_count":0,"area":null}],"next_cursor":null}