Efficient and Responsible Adaptation of Large Language Models for Robust and Equitable Top-k Recommendations Jan 8, 2025 In-Context Learning Recommendation Systems
— Unverified 00 Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations May 1, 2024 Collaborative Filtering In-Context Learning
— Unverified 00 Efficient and Effective Similarity Search over Bipartite Graphs Dec 11, 2023 Recommendation Systems
— Unverified 00 Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation Nov 5, 2024 GPU parameter-efficient fine-tuning
— Unverified 00 Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks Apr 26, 2024 Drug Discovery Fairness
— Unverified 00 An Integrated Recommender Algorithm for Rating Prediction Aug 5, 2016 Collaborative Filtering Prediction
— Unverified 00 Adversarial Neural Trip Recommendation Sep 24, 2021 Decoder Recommendation Systems
— Unverified 00 A Comprehensive Overview of Recommender System and Sentiment Analysis Sep 18, 2021 Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)
— Unverified 00 Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models Aug 20, 2024 Music Recommendation Recommendation Systems
— Unverified 00 Efficient and Accurate Top-K Recovery from Choice Data Jun 23, 2022 Information Retrieval Learning-To-Rank
— Unverified 00 Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation Mar 15, 2025 Recommendation Systems Sequential Recommendation
— Unverified 00 Effects of Using Synthetic Data on Deep Recommender Models' Performance Jun 26, 2024 Data Augmentation Recommendation Systems
— Unverified 00 Effects of Foraging in Personalized Content-based Image Recommendation Jun 30, 2019 Recommendation Systems
— Unverified 00 Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders Aug 14, 2023 Recommendation Systems
— Unverified 00 An Integrated Framework for Contextual Personalized LLM-Based Food Recommendation Apr 25, 2025 Food recommendation Recommendation Systems
— Unverified 00 Effective Visualization and Analysis of Recommender Systems Mar 2, 2023 Diversity Recommendation Systems
— Unverified 00 Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits Aug 20, 2024 Off-policy evaluation Recommendation Systems
— Unverified 00 Effective Model Integration Algorithm for Improving Link and Sign Prediction in Complex Networks Aug 3, 2021 Decision Making Feature Engineering
— Unverified 00 Bridging Medical Data Inference to Achilles Tendon Rupture Rehabilitation Dec 7, 2016 Collaborative Filtering Decision Making
— Unverified 00 An Information-Theoretic Approach to Personalized Explainable Machine Learning Mar 1, 2020 BIG-bench Machine Learning Decision Making
— Unverified 00 Vertical Allocation-based Fair Exposure Amortizing in Ranking Apr 6, 2022 Exposure Fairness Fairness
— Unverified 00 Bridging Domain Gaps between Pretrained Multimodal Models and Recommendations Feb 21, 2025 Multimodal Recommendation Recommendation Systems
— Unverified 00 EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation Apr 1, 2024 EEG Recommendation Systems
— Unverified 00 EduPal leaves no professor behind: Supporting faculty via a peer-powered recommender system Apr 20, 2021 Chatbot Knowledge Distillation
— Unverified 00 Bridging Conversational and Collaborative Signals for Conversational Recommendation Dec 9, 2024 Collaborative Filtering Conversational Recommendation
— Unverified 00 Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation Aug 1, 2017 Collaborative Filtering Recommendation Systems
— Unverified 00 An Improved Hybrid Recommender System: Integrating Document Context-Based and Behavior-Based Methods Sep 12, 2021 Collaborative Filtering Recommendation Systems
— Unverified 00 A Compositional Model of Multi-faceted Trust for Personalized Item Recommendation Sep 4, 2019 Collaborative Filtering Recommendation Systems
— Unverified 00 From Intent Discovery to Recognition with Topic Modeling and Synthetic Data May 16, 2025 Diversity Intent Discovery
— Unverified 00 Learning from Sets of Items in Recommender Systems Apr 22, 2019 Collaborative Filtering Recommendation Systems
— Unverified 00 EdgeRec: Recommender System on Edge in Mobile Taobao May 18, 2020 Recommendation Systems Reranking
— Unverified 00 EDGE-Rec: Efficient and Data-Guided Edge Diffusion For Recommender Systems Graphs Sep 23, 2024 Collaborative Filtering Denoising
— Unverified 00 Break the ID-Language Barrier: An Adaption Framework for Sequential Recommendation Nov 27, 2024 Recommendation Systems Sequential Recommendation
— Unverified 00 Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing May 24, 2019 Edge-computing Recommendation Systems
— Unverified 00 Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems Dec 29, 2023 Movie Recommendation Recommendation Systems
— Unverified 00 Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation Nov 20, 2021 Graph Neural Network Recommendation Systems
— Unverified 00 Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation Feb 16, 2022 Movie Recommendation Recommendation Systems
— Unverified 00 Edge-Compatible Reinforcement Learning for Recommendations Dec 10, 2021 Edge-computing Recommendation Systems
— Unverified 00 Edge-cloud Collaborative Learning with Federated and Centralized Features Apr 12, 2023 Edge-computing Federated Learning
— Unverified 00 Breaking the Softmax Bottleneck for Sequential Recommender Systems with Dropout and Decoupling Oct 11, 2021 Language Modeling Language Modelling
— Unverified 00 Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion Dec 25, 2023 Recommendation Systems
— Unverified 00 ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System Oct 1, 2024 Clustering Collaborative Filtering
— Unverified 00 Economic Recommender Systems -- A Systematic Review Aug 23, 2023 Recommendation Systems
— Unverified 00 Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph Feb 21, 2024 Language Modeling Language Modelling
— Unverified 00 E-commerce Recommendation with Weighted Expected Utility Aug 19, 2020 Collaborative Filtering Recommendation Systems
— Unverified 00 E-Commerce Content and Collaborative-based Recommendation using K-Nearest Neighbors and Enriched Weighted Vectors Dec 1, 2020 Recommendation Systems
— Unverified 00 Breaking Feedback Loops in Recommender Systems with Causal Inference Jul 4, 2022 Causal Inference Recommendation Systems
— Unverified 00 An Extremely Data-efficient and Generative LLM-based Reinforcement Learning Agent for Recommenders Aug 28, 2024 Recommendation Systems Thompson Sampling
— Unverified 00 e-Commerce and Sentiment Analysis: Predicting Outcomes of Class Action Lawsuits Jul 1, 2020 Management Recommendation Systems
— Unverified 00 Branching Reinforcement Learning Feb 16, 2022 LEMMA Recommendation Systems
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