{"total":13,"rows":[{"id":"2202.08959","title":"Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation","created":"2022-02-05","cited_by_count":9,"area":null},{"id":"2202.02698","title":"Triangle Graph Interest Network for Click-through Rate Prediction","created":"2022-02-06","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":"2507.03895","title":"TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems","created":"2025-07-05","cited_by_count":2,"area":null},{"id":"2107.01999","title":"FINT: Field-aware INTeraction Neural Network For CTR Prediction","created":"2021-07-05","cited_by_count":1,"area":null},{"id":"2108.08022","title":"SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation","created":"2021-08-18","cited_by_count":1,"area":null},{"id":"2501.15816","title":"AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System","created":"2025-01-27","cited_by_count":1,"area":null},{"id":"2601.14060","title":"Fine-Grained Zero-Shot Composed Image Retrieval with Complementary Visual-Semantic Integration","created":"2026-01-20","cited_by_count":1,"area":null},{"id":"2210.07768","title":"FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems","created":"2022-09-26","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":"2508.10851","title":"From Entity Reliability to Clean Feedback: An Entity-Aware Denoising Framework Beyond Interaction-Level Signals","created":"2025-08-14","cited_by_count":0,"area":null},{"id":"2602.20001","title":"FairFS: Addressing Deep Feature Selection Biases for Recommender System","created":"2026-02-23","cited_by_count":0,"area":null},{"id":"2603.21155","title":"Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs","created":"2026-03-22","cited_by_count":0,"area":null}],"next_cursor":null}