Showing 1–20 of 101 results
/ Date/ Name
Sep 5, 2022A Brief History of Recommender SystemsDec 3, 2019Less Is Better: Unweighted Data Subsampling via Influence FunctionJul 5, 2019Uncovering Download Fraud Activities in Mobile App MarketsApr 3, 2023FinalMLP: An Enhanced Two-Stream MLP Model for CTR PredictionMar 31, 2024Multimodal Pretraining, Adaptation, and Generation for Recommendation: A SurveySep 30, 2024MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal AssistantsAug 15, 2024AIE: Auction Information Enhanced Framework for CTR Prediction in Online AdvertisingMay 17, 2024CELA: Cost-Efficient Language Model Alignment for CTR PredictionFeb 9, 2025Few-shot LLM Synthetic Data with Distribution MatchingApr 12, 2018DeepFM: An End-to-End Wide & Deep Learning Framework for CTR PredictionNov 30, 2023Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for RecommendationApr 1, 2023Fair-CDA: Continuous and Directional Augmentation for Group FairnessMar 8, 2024Enhancing Multimodal Unified Representations for Cross Modal GeneralizationMar 1, 2025MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online AdvertisingMay 28, 2024Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback LoopMay 21, 2024Retrievable Domain-Sensitive Feature Memory for Multi-Domain RecommendationOct 7, 2025CAM: A Constructivist View of Agentic Memory for LLM-Based Reading ComprehensionFeb 10, 2025UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative IntegrationJan 27, 2026Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR PredictionAug 15, 2025Learn to Memorize: Optimizing LLM-based Agents with Adaptive Memory Framework