Showing 1–20 of 182 results
/ Date/ Name
Apr 16, 2021Matching-oriented Product Quantization For Ad-hoc RetrievalFeb 28, 2021Automated Creative Optimization for E-Commerce AdvertisingApr 18, 2022HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric RegularizationFeb 5, 2024Understanding the planning of LLM agents: A surveyDec 18, 2023Model Stealing Attack against Recommender SystemAug 11, 2023Deep Task-specific Bottom Representation Network for Multi-Task RecommendationOct 9, 2023Large-Scale OD Matrix Estimation with A Deep Learning MethodMar 13, 2024NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear InterpolationJul 3, 2024Foundations and Frontiers of Graph Learning TheoryOct 9, 2024Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model EditingOct 8, 2024MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain RecommendationSep 24, 2024Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented GenerationMay 28, 2024Dataset Regeneration for Sequential RecommendationMay 17, 2024CELA: Cost-Efficient Language Model Alignment for CTR PredictionNov 22, 2024Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR PredictionFeb 17, 2025Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information RetrievalFeb 13, 2023Improving Recommendation Fairness via Data AugmentationMar 14, 2023Traffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle DetectorsNov 15, 2022Resisting Graph Adversarial Attack via Cooperative Homophilous AugmentationDec 11, 2023Invariant Representation via Decoupling Style and Spurious Features from Images