{"total":14,"rows":[{"id":"2204.07756","title":"Visual Attention Methods in Deep Learning: An In-Depth Survey","created":"2022-04-16","cited_by_count":37,"area":null},{"id":"2302.03328","title":"Multi-Task Recommendations with Reinforcement Learning","created":"2023-02-07","cited_by_count":26,"area":null},{"id":"2204.06517","title":"Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation","created":"2022-03-30","cited_by_count":8,"area":null},{"id":"2303.12341","title":"EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning","created":"2023-03-22","cited_by_count":7,"area":null},{"id":"2301.12402","title":"Decision-Making Context Interaction Network for Click-Through Rate Prediction","created":"2023-01-29","cited_by_count":4,"area":null},{"id":"2308.02925","title":"ConvFormer: Revisiting Transformer for Sequential User Modeling","created":"2023-08-05","cited_by_count":3,"area":null},{"id":"2204.03827","title":"IA-GCN: Interactive Graph Convolutional Network for Recommendation","created":"2022-04-08","cited_by_count":2,"area":null},{"id":"2310.09706","title":"AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking","created":"2023-10-15","cited_by_count":2,"area":null},{"id":"2111.04983","title":"Dynamic Parameterized Network for CTR Prediction","created":"2021-11-09","cited_by_count":1,"area":null},{"id":"2202.00245","title":"Sequential Search with Off-Policy Reinforcement Learning","created":"2022-02-01","cited_by_count":1,"area":null},{"id":"2509.04154","title":"Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation","created":"2025-09-04","cited_by_count":1,"area":null},{"id":"2410.15098","title":"Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction","created":"2024-10-19","cited_by_count":0,"area":null},{"id":"2502.19271","title":"Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems","created":"2025-02-26","cited_by_count":0,"area":null},{"id":"2609.01057","title":"User Representation via Cross Multi-source Behavior Pre-training for Mobile Games","created":"2026-09-01","cited_by_count":0,"area":null}],"next_cursor":null}