Showing 1–20 of 69 results
/ Date/ Name
Oct 29, 2018Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions ModelingSep 4, 2020A Practical Incremental Method to Train Deep CTR ModelsApr 17, 2021ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding TableMar 13, 2017DeepFM: A Factorization-Machine based Neural Network for CTR PredictionApr 9, 2019Feature Generation by Convolutional Neural Network for Click-Through Rate PredictionJul 16, 2018An Adjustable Heat Conduction based KNN Approach for Session-based RecommendationAug 3, 2021Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR PredictionAug 25, 2020GraphSAIL: Graph Structure Aware Incremental Learning for Recommender SystemsApr 12, 2018DeepFM: An End-to-End Wide & Deep Learning Framework for CTR PredictionDec 16, 2020An Embedding Learning Framework for Numerical Features in CTR PredictionFeb 7, 2023Multi-Task Deep Recommender Systems: A SurveyFeb 23, 2018Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result DiversificationJul 1, 2018Product-based Neural Networks for User Response Prediction over Multi-field Categorical DataFeb 23, 2024Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue RegularizationDec 1, 2024Scaling New Frontiers: Insights into Large Recommendation ModelsNov 30, 2024Optimizing Sequential Recommendation Models with Scaling Laws and Approximate EntropyAug 14, 2025FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation ModelOct 10, 2025Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric RetrievalSep 12, 2023HAMUR: Hyper Adapter for Multi-Domain RecommendationDec 3, 2021Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation