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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/0470011815.b2a11006openalex-snapshot
B ayesian Survival Analysis
inferredcites →https://doi.org/10.1007/978-3-642-15208-5_6openalex-snapshot
Content-Based News Recommendation
inferredcites →https://doi.org/10.1007/978-3-642-20161-5_44openalex-snapshot
Terms of a Feather: Content-Based News Recommendation and Discovery Using Twitter
inferredcites →https://doi.org/10.1007/978-3-642-34487-9_40openalex-snapshot
A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System
inferredcites →https://doi.org/10.1016/j.knosys.2013.03.012openalex-snapshot
Recommender systems survey
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1109/tkde.2005.99openalex-snapshot
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
inferredcites →https://doi.org/10.1109/tkde.2011.15openalex-snapshot
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
inferredcites →https://doi.org/10.1145/1015330.1015437openalex-snapshot
The multiple multiplicative factor model for collaborative filtering
inferredcites →https://doi.org/10.1145/1060745.1060754openalex-snapshot
Improving recommendation lists through topic diversification
inferredcites →https://doi.org/10.1145/1282100.1282114openalex-snapshot
Learning and adaptivity in interactive recommender systems
inferredcites →https://doi.org/10.1145/1297231.1297250openalex-snapshot
Usage-based web recommendations
inferredcites →https://doi.org/10.1145/1553374.1553527openalex-snapshot
Interactively optimizing information retrieval systems as a dueling bandits problem
inferredcites →https://doi.org/10.1145/1719970.1719976openalex-snapshot
Personalized news recommendation based on click behavior
inferredcites →https://doi.org/10.1145/1754239.1754257openalex-snapshot
Ontology-based news recommendation
inferredcites →https://doi.org/10.1145/1772690.1772758openalex-snapshot
A contextual-bandit approach to personalized news article recommendation
inferredcites →https://doi.org/10.1145/2433396.2433419openalex-snapshot
Reusing historical interaction data for faster online learning to rank for IR
inferredcites →https://doi.org/10.1145/2505515.2505690openalex-snapshot
Interactive collaborative filtering
inferredcites →https://doi.org/10.1145/2623372openalex-snapshot
Exploration in Interactive Personalized Music Recommendation
inferredcites →https://doi.org/10.1145/2645710.2645732openalex-snapshot
Ensemble contextual bandits for personalized recommendation
inferredcites →https://doi.org/10.1145/2766462.2767707openalex-snapshot
Personalized Recommendation via Parameter-Free Contextual Bandits
inferredcites →https://doi.org/10.1145/2911451.2914798openalex-snapshot
Online Learning to Rank for Information Retrieval
inferredcites →https://doi.org/10.1145/2939672.2939878openalex-snapshot
Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit
inferredcites →https://doi.org/10.1145/2983323.2983847openalex-snapshot
Learning Hidden Features for Contextual Bandits
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3018661.3018665openalex-snapshot
Joint Deep Modeling of Users and Items Using Reviews for Recommendation
inferredcites →https://doi.org/10.1145/3097983.3098096openalex-snapshot
Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration
inferredcites →https://doi.org/10.1609/aaai.v30i1.10295openalex-snapshot
Deep Reinforcement Learning with Double Q-Learning
inferredcites →https://doi.org/10.1609/aaai.v31i1.10936openalex-snapshot
Factorization Bandits for Interactive Recommendation
inferredcites →https://doi.org/10.48550/arxiv.1304.6480openalex-snapshot
A Theoretical Analysis of NDCG Type Ranking Measures
inferredcites →https://doi.org/10.48550/arxiv.1401.8257openalex-snapshot
Online Clustering of Bandits
inferredcites →https://doi.org/10.48550/arxiv.1511.06581openalex-snapshot
Dueling Network Architectures for Deep Reinforcement Learning
inferredcites →https://doi.org/10.5555/2969239.2969384openalex-snapshot
Efficient Thompson sampling for online matrix-factorization recommendation
inferredcites →https://doi.org/10.5860/choice.46-2715openalex-snapshot
Introduction to information retrieval
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Guiding Decentralized Production via AI Feedback: Evidence on Product Design and User Experience
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Resource‐Aware Intrusion Response Based on Deep Reinforcement Learning for Software‐Defined Internet‐of‐Battle‐Things
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Optimized multi‐label convolutional neural network using modified genetic algorithm for popularity based personalized news recommendation system
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Deep Learning for Recommender Systems
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Context-Aware Recommender Systems: From Foundations to Recent Developments
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Expert2Vec: Distributed Expert Representation Learning in Question Answering Community
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Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning
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Off-Policy Recommendation System Without Exploration
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Smart Entrepreneurial Systems: An Application of Deep Reinforcement Learning in Improving Entrepreneurship Mentorship
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Reinforcement Learning: A Friendly Introduction
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Mutation Testing of Reinforcement Learning Systems
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Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment
inferred← citeshttps://doi.org/10.1007/978-3-031-00129-1_33openalex-snapshot
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity
inferred← citeshttps://doi.org/10.1007/978-3-031-15931-2_44openalex-snapshot
Knowledge Graph Bidirectional Interaction Graph Convolutional Network for Recommendation
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Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation
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Click is Not Equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation
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Coupling User Preference with External Rewards to Enable Driver-centered and Resource-aware EV Charging Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-27609-5_21openalex-snapshot
SemKnowNews: A Semantically Inclined Knowledge Driven Approach for Multi-source Aggregation and Recommendation of News with a Focus on Personalization
inferred← citeshttps://doi.org/10.1007/978-3-031-33380-4_30openalex-snapshot
Staying or Leaving: A Knowledge-Enhanced User Simulator for Reinforcement Learning Based Short Video Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-33380-4_31openalex-snapshot
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling
inferred← citeshttps://doi.org/10.1007/978-3-031-36819-6_28openalex-snapshot
Recommendations Based on Reinforcement Learning and Knowledge Graph
inferred← citeshttps://doi.org/10.1007/978-3-031-37454-8_2openalex-snapshot
Machine Learning Based Recommender Systems for Crop Selection: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1007/978-3-031-40289-0_25openalex-snapshot
Multi-layer Attention Social Recommendation System Based on Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-42559-2_5openalex-snapshot
Hybrid/Advanced Session-Based Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-73497-7_34openalex-snapshot
A Reinforcement Learning Based Recommender System Framework for Web Apps: Radio and Game Aggregators Scenarios
inferred← citeshttps://doi.org/10.1007/978-3-031-87781-0_21openalex-snapshot
Dynamic User Profiling for Personalized Tourism Recommendations Using Reinforcement Learning Models
inferred← citeshttps://doi.org/10.1007/978-3-031-91859-9_2openalex-snapshot
Mean Field Game and Machine Learning Basis
inferred← citeshttps://doi.org/10.1007/978-3-032-06106-5_1openalex-snapshot
Counterfactual Multi-player Bandits for Explainable Recommendation Diversification
inferred← citeshttps://doi.org/10.1007/978-3-032-06106-5_4openalex-snapshot
Reward Shaping for User Satisfaction
inferred← citeshttps://doi.org/10.1007/978-3-032-06376-2_37openalex-snapshot
Dynamic Adjustment of Deep Reinforcement Learning in Cultural Communication Content Recommendation System
inferred← citeshttps://doi.org/10.1007/978-3-032-15854-3_7openalex-snapshot
Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-21901-5_10openalex-snapshot
BookBuddy: A Reinforcement Learning Based Book Recommender System
inferred← citeshttps://doi.org/10.1007/978-981-16-0705-9_16openalex-snapshot
Diversity-Aware Top-N Recommendation: A Deep Reinforcement Learning Way
inferred← citeshttps://doi.org/10.1007/978-981-16-2233-5_10openalex-snapshot
Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/978-981-19-4546-5_26openalex-snapshot
CATS: A Cache Time-to-Live Setting Auto Adjustment Strategy for an Air Ticket Query Service
inferred← citeshttps://doi.org/10.1007/978-981-95-0218-9_15openalex-snapshot
Redefining Entity Integration: Theoretical Insights for GNN-Based Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-981-95-3462-3_32openalex-snapshot
AGT2: Learning User Preferences for Next POI Recommendation via Adaptive Graph and Time Tree
inferred← citeshttps://doi.org/10.1007/978-981-95-4966-5_15openalex-snapshot
Survey of Recommendation Algorithms with Deep Learning Models
inferred← citeshttps://doi.org/10.1007/978-981-95-5640-3_24openalex-snapshot
RCGRL: Reinforcement-Optimized Contrastive Graph Representation Learning for Social Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-95-6196-4_5openalex-snapshot
Distributional Offline Reinforcement Learning for Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-981-96-6948-6_14openalex-snapshot
LLM-AC: Large Language Models Enhanced Actor-Critic for Recommendation Systems
inferred← citeshttps://doi.org/10.1007/978-981-97-3623-2_13openalex-snapshot
Bridging Recommendations Across Domains: An Overview of Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-97-9112-5_34openalex-snapshot
FareIQ: Intelligent Fare Optimization for Cab Drivers Using Reinforcement Learning
inferred← citeshttps://doi.org/10.1007/978-981-97-9255-9_19openalex-snapshot
LLM-Powered Reading Aid for Visually Impaired Online Learners
inferred← citeshttps://doi.org/10.1007/978-981-99-1639-9_29openalex-snapshot
MnRec: A News Recommendation Fusion Model Combining Multi-granularity Information
inferred← citeshttps://doi.org/10.1007/978-981-99-9119-8_42openalex-snapshot
A Reinforcement Learning Approach for Personalized Diversity in Feeds Recommendation
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Multi-objective reward generalization: improving performance of Deep Reinforcement Learning for applications in single-asset trading
inferred← citeshttps://doi.org/10.1007/s00521-024-09800-0openalex-snapshot
Counterfactual contextual bandit for recommendation under delayed feedback
inferred← citeshttps://doi.org/10.1007/s00521-024-10866-zopenalex-snapshot
In-depth survey: deep learning in recommender systems—exploring prediction and ranking models, datasets, feature analysis, and emerging trends
inferred← citeshttps://doi.org/10.1007/s10115-023-01951-1openalex-snapshot
AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation
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IR2SRL: improving the rating of recommender systems with a deep reinforcement learning approach
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Toward automatic motivator selection for autism behavior intervention therapy
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News recommender system: a review of recent progress, challenges, and opportunities
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On the current state of deep learning for news recommendation
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An actor-critic based recommender system with context-aware user modeling
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Reinforcement learning-based denoising network for sequential recommendation
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Solving uncapacitated P-Median problem with reinforcement learning assisted by graph attention networks
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Towards designing a generic and comprehensive deep reinforcement learning framework
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DOR: a novel dual-observation-based approach for recommendation systems
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Reinforcement negative sampling recommendation based on collaborative knowledge graph
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Dynamic debiasing for popularity bias in recommendation systems: a reinforcement learning approach
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ADOSMNet: a novel visual affordance detection network with object shape mask guided feature encoders
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Dynamic negative sampling for recommendation with feature matching
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Personalized weight loss strategies by mining activity tracker data
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The impacts of relevance of recommendations and goal commitment on user experience in news recommender design
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DIRS-KG: a KG-enhanced interactive recommender system based on deep reinforcement learning
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Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation
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Click is not equal to purchase: multi-task reinforcement learning for multi-behavior recommendation
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Artificial intelligence in recommender systems
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KPRLN: deep knowledge preference-aware reinforcement learning network for recommendation
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A Deep Reinforcement Learning Real-Time Recommendation Model Based on Long and Short-Term Preference
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Advances and challenges in conversational recommender systems: A survey
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SAAS parallel task scheduling based on cloud service flow load algorithm
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A comprehensive review of recommender systems: Transitioning from theory to practice
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A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties
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A survey of research hotspots and frontier trends of recommendation systems from the perspective of knowledge graph
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HCURec: Hierarchical candidate-aware user modeling for news recommendation
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Adaptive identification of supply chain disruptions through reinforcement learning
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An interactive food recommendation system using reinforcement learning
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Coformer for session-based recommendation with dual positional information
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Heterogeneous relational reasoning in knowledge graphs with reinforcement learning
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Top-aware recommender distillation with deep reinforcement learning
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DCFGAN: An adversarial deep reinforcement learning framework with improved negative sampling for session-based recommender systems
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Predicting users’ future interests on social networks: A reference framework
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Adaptive collaborative filtering for multi-objective Top-N recommendations with implicit feedback
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A survey on the suitability of risk identification techniques in the current networked environment
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State representation modeling for deep reinforcement learning based recommendation
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A deep reinforcement learning based long-term recommender system
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RL-VAEGAN: Adversarial defense for reinforcement learning agents via style transfer
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Adaptive course recommendation in MOOCs
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Multi-modal Knowledge-aware Reinforcement Learning Network for Explainable Recommendation
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Inferring substitutable and complementary products with Knowledge-Aware Path Reasoning based on dynamic policy network
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Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation
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Deep reinforcement learning in recommender systems: A survey and new perspectives
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MFDB: Multimodal feature fusion and dynamic behavior modeling for interactive recommendation systems
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TNAM: A tag-aware neural attention model for Top-N recommendation
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Top-aware reinforcement learning based recommendation
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SI-News: Integrating social information for news recommendation with attention-based graph convolutional network
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Optimizing recommendations under abandonment risks: Models and algorithms
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Predicting Lung Healthiness Risk Scores to Identify Probability of an Asthma Attack
inferred← citeshttps://doi.org/10.1017/s0269888922000042openalex-snapshot
A scalable species-based genetic algorithm for reinforcement learning problems
inferred← citeshttps://doi.org/10.1021/acsomega.3c10422openalex-snapshot
Optimal Dynamic Regimes for CO Oxidation Discovered by Reinforcement Learning
inferred← citeshttps://doi.org/10.1038/s41598-024-56497-1openalex-snapshot
An adaptable and personalized framework for top-N course recommendations in online learning
inferred← citeshttps://doi.org/10.1049/cim2.12081openalex-snapshot
Deep Q‐learning recommender algorithm with update policy for a real steam turbine system
inferred← citeshttps://doi.org/10.1051/shsconf/202623603005openalex-snapshot
The Impact of User “Like” Signals on Content Topic Selection Behavior of Douyin Creators under a Multi-Factor Recommendation Mechanism
inferred← citeshttps://doi.org/10.1063/5.0165752openalex-snapshot
Movie recommendation system using machine learning
inferred← citeshttps://doi.org/10.1080/08839514.2024.2355425openalex-snapshot
Enhanced Sub-graph Reconstruction Graph Neural Network for Recommendation
inferred← citeshttps://doi.org/10.1080/09540091.2025.2461088openalex-snapshot
Improved data labelling method for news headlines classification in cloud environment
inferred← citeshttps://doi.org/10.1088/1751-8121/ab73adopenalex-snapshot
Neural network agent playing spin Hamiltonian games on a quantum computer
inferred← citeshttps://doi.org/10.1088/1757-899x/466/1/012110openalex-snapshot
Deep Reinforcement Learning based Recommend System using stratified sampling
inferred← citeshttps://doi.org/10.1088/1757-899x/799/1/012042openalex-snapshot
KSR: Knowledge-based Sequential News Recommendation System
inferred← citeshttps://doi.org/10.1108/jstpm-09-2021-0136openalex-snapshot
Monetization of customer futures through machine learning and artificial intelligence based persuasive technologies
inferred← citeshttps://doi.org/10.1109/access.2019.2954957openalex-snapshot
Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2020.2967792openalex-snapshot
News Recommendation Systems - Accomplishments, Challenges & Future Directions
inferred← citeshttps://doi.org/10.1109/access.2020.2978505openalex-snapshot
HYPNER: A Hybrid Approach for Personalized News Recommendation
inferred← citeshttps://doi.org/10.1109/access.2020.2984543openalex-snapshot
Co-Displayed Items Aware List Recommendation
inferred← citeshttps://doi.org/10.1109/access.2020.3027707openalex-snapshot
Cognitive Caching at the Edges for Mobile Social Community Networks: A Multi-Agent Deep Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1109/access.2021.3059312openalex-snapshot
A Review of Text-Based Recommendation Systems
inferred← citeshttps://doi.org/10.1109/access.2021.3087406openalex-snapshot
DARES: An Asynchronous Distributed Recommender System Using Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/access.2022.3169889openalex-snapshot
Trust Recommendation Based on Deep Deterministic Strategy Gradient Algorithm
inferred← citeshttps://doi.org/10.1109/access.2022.3181164openalex-snapshot
Multiobjective Deep Reinforcement Learning for Recommendation Systems
inferred← citeshttps://doi.org/10.1109/access.2023.3295776openalex-snapshot
Information Retrieval: Recent Advances and Beyond
inferred← citeshttps://doi.org/10.1109/access.2023.3325333openalex-snapshot
Supervised Reinforcement Session Recommendation Model Based on Dual-Graph Convolution
inferred← citeshttps://doi.org/10.1109/access.2024.3367770openalex-snapshot
User Experiments on the Effect of the Diversity of Consumption on News Services
inferred← citeshttps://doi.org/10.1109/access.2024.3422416openalex-snapshot
A Review of Explainable Recommender Systems Utilizing Knowledge Graphs and Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/access.2024.3464733openalex-snapshot
Knowledge Graph-Enhanced Hierarchical Reinforcement Learning for Interactive and Explainable Recommendation
inferred← citeshttps://doi.org/10.1109/access.2024.3472473openalex-snapshot
Comparative Analysis of A3C and PPO Algorithms in Reinforcement Learning: A Survey on General Environments
inferred← citeshttps://doi.org/10.1109/access.2024.3516517openalex-snapshot
Efficient Integration of Reinforcement Learning in Graph Neural Networks-Based Recommender Systems
inferred← citeshttps://doi.org/10.1109/access.2025.3552102openalex-snapshot
Joint Modeling of Prediction and Behavioral Patterns for Reliable Recommendation With Implicit Feedback
inferred← citeshttps://doi.org/10.1109/aiccsa59173.2023.10479269openalex-snapshot
A data analysis and processing approach for a POI recommendation system
inferred← citeshttps://doi.org/10.1109/aihcir61661.2023.00080openalex-snapshot
Interactive Recommendation Algorithm based on Combination of DFM and Offline Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/aike48582.2020.00031openalex-snapshot
Explainable and Adaptable Augmentation in Knowledge Attention Network for Multi-Agent Deep Reinforcement Learning Systems
inferred← citeshttps://doi.org/10.1109/asonam55673.2022.10068595openalex-snapshot
Session-based News Recommendation from Temporal User Commenting Dynamics
inferred← citeshttps://doi.org/10.1109/besc59560.2023.10386636openalex-snapshot
MASSE: A Multi-Agent Based Air Ticketing Service Selection Approach
inferred← citeshttps://doi.org/10.1109/bhi56158.2022.9926869openalex-snapshot
AI Methods for Personalized Suggestions on Smart Glasses Based on Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622542openalex-snapshot
PER: A Probabilistic Attentional Model for Personalized Text Recommendations
inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9006191openalex-snapshot
Analysis of Evolutionary Behavior in Self-Learning Media Search Engines
inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9006407openalex-snapshot
Reinforcement Learning Framework to Identify Cause of Diseases - Predicting Asthma Attack Case
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9378340openalex-snapshot
A Regularized Model to Trade-off between Accuracy and Diversity in a News Recommender System
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671467openalex-snapshot
Deep Neural Network to Tradeoff between Accuracy and Diversity in a News Recommender System
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671558openalex-snapshot
A multi-step decision prediction model based on LightGBM
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671687openalex-snapshot
Deep Reinforcement Learning based Recommender System with State Representation
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020476openalex-snapshot
Learning Diversity Attributes in Multi-Session Recommendations
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020921openalex-snapshot
Collaborative Filtering Guided Deep Reinforcement Learning for Sequential Recommendations
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825874openalex-snapshot
ODKT-IAC: Integrating Continual and Adaptive Learning for Personalized Path Recommendations
inferred← citeshttps://doi.org/10.1109/cac53003.2021.9727937openalex-snapshot
Accelerating Reinforcement Learning with Local Data Enhancement for Process Control
inferred← citeshttps://doi.org/10.1109/cac57257.2022.10055122openalex-snapshot
Controlling Pressure of Gas Pipeline Network Based on Mixed Proximal Policy Optimization
inferred← citeshttps://doi.org/10.1109/ccnc65079.2026.11366578openalex-snapshot
Dynamic Content Recommendation Considering Cache State and Preference Using Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/cdc45484.2021.9683076openalex-snapshot
Non-Markovian Reinforcement Learning using Fractional Dynamics
inferred← citeshttps://doi.org/10.1109/cec60901.2024.10612117openalex-snapshot
Efficient Hyperparameter Optimization Using Deep Q-Network and BRKGA
inferred← citeshttps://doi.org/10.1109/cecit58139.2022.00037openalex-snapshot
Recipe Recommendation Based on Information Propagation of Knowledge Graphs
inferred← citeshttps://doi.org/10.1109/ciss53076.2022.9751174openalex-snapshot
Sequential Recommendation Using Deep Reinforcement Learning and Multi-Head Attention
inferred← citeshttps://doi.org/10.1109/comnetsat59769.2023.10420746openalex-snapshot
Dietary Food Ingredients Recommendation for Patients with Hypertension Using a Genetic Algorithm
inferred← citeshttps://doi.org/10.1109/csci54926.2021.00298openalex-snapshot
A Review on Multiple Data Source Based Recommendation Systems
inferred← citeshttps://doi.org/10.1109/csicc52343.2021.9420615openalex-snapshot
Improving ranking function and diversification in interactive recommendation systems based on deep reinforcement learning
inferred← citeshttps://doi.org/10.1109/ctisc54888.2022.9849805openalex-snapshot
Interactive Reinforcement Learning-Based API Recommendation
inferred← citeshttps://doi.org/10.1109/devic.2019.8783550openalex-snapshot
Gameplay using Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/dsaa54385.2022.10032442openalex-snapshot
Incorporating Accuracy and Diversity in a News Recommender System
inferred← citeshttps://doi.org/10.1109/dsn-w50199.2020.00013openalex-snapshot
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information
inferred← citeshttps://doi.org/10.1109/eebda56825.2023.10090669openalex-snapshot
Combining Forecasting and Multi-Agent Reinforcement Learning Techniques on Power Grid Scheduling Task
inferred← citeshttps://doi.org/10.1109/healthcom60970.2024.10880823openalex-snapshot
Future Healthcare Recommender Systems: Applications, Open Issues, and Challenges
inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys53884.2021.00250openalex-snapshot
Click Prediction Based on Feature Fusion and Attention Mechanism
inferred← citeshttps://doi.org/10.1109/icaa52185.2022.00014openalex-snapshot
Resilient Multi-agent Reinforcement Learning Using Medoid and Soft-medoid Based Aggregation
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