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Interactive Recommendation with User-Specific Deep Reinforcement Learning

https://doi.org/10.1145/3359554
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470980033openalex-snapshot
Multi‐Armed Bandit Allocation Indices
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_1openalex-snapshot
Introduction to Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_5openalex-snapshot
Advances in Collaborative Filtering
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_3openalex-snapshot
Advances in Collaborative Filtering
inferredcites →https://doi.org/10.1007/978-3-319-68121-4_18openalex-snapshot
Playlist Recommendation Based on Reinforcement Learning
inferredcites →https://doi.org/10.1007/bf00992698openalex-snapshot
Q-learning
inferredcites →https://doi.org/10.1007/s00224-008-9100-7openalex-snapshot
Tell Me Who I Am: An Interactive Recommendation System
inferredcites →https://doi.org/10.1007/s13735-012-0025-1openalex-snapshot
Combining usage and content in an online recommendation system for music in the Long Tail
inferredcites →https://doi.org/10.1023/a:1013689704352openalex-snapshot
Finite-time Analysis of the Multiarmed Bandit Problem
inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot
Human-level control through deep reinforcement learning
inferredcites →https://doi.org/10.1038/nature16961openalex-snapshot
Mastering the game of Go with deep neural networks and tree search
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
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/10.1126/science.153.3731.34openalex-snapshot
Dynamic Programming
inferredcites →https://doi.org/10.1145/1297231.1297250openalex-snapshot
Usage-based web recommendations
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1772690.1772758openalex-snapshot
A contextual-bandit approach to personalized news article recommendation
inferredcites →https://doi.org/10.1145/1864708.1864721openalex-snapshot
Performance of recommender algorithms on top-n recommendation tasks
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/10.1145/2645710.2645723openalex-snapshot
Exploiting temporal influence in online recommendation
inferredcites →https://doi.org/10.1145/2645710.2645733openalex-snapshot
Explore-exploit in top-N recommender systems via Gaussian processes
inferredcites →https://doi.org/10.1145/2766462.2767707openalex-snapshot
Personalized Recommendation via Parameter-Free Contextual Bandits
inferredcites →https://doi.org/10.1145/2911451.2911489openalex-snapshot
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
inferredcites →https://doi.org/10.1145/2939672.2939746openalex-snapshot
Towards Conversational Recommender Systems
inferredcites →https://doi.org/10.1145/3178876.3185994openalex-snapshot
DRN
inferredcites →https://doi.org/10.1145/3219819.3219886openalex-snapshot
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning
inferredcites →https://doi.org/10.1145/3219819.3220122openalex-snapshot
Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation
inferredcites →https://doi.org/10.1145/3240323.3240374openalex-snapshot
Deep reinforcement learning for page-wise recommendations
inferredcites →https://doi.org/10.2307/2582852openalex-snapshot
Bandit Problems, Sequential Allocation of Experiments.
inferredcites →https://doi.org/10.2307/2981558openalex-snapshot
Bandit Problems: Sequential Allocation of Experiments.
inferredcites →https://doi.org/10.2307/2982809openalex-snapshot
Multi-Armed Bandit Allocation Indices.
inferredcites →https://doi.org/10.5555/2969239.2969384openalex-snapshot
Efficient Thompson sampling for online matrix-factorization recommendation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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/s00521-023-08958-3openalex-snapshot
Deep learning-based collaborative filtering recommender systems: a comprehensive and systematic review
inferred← citeshttps://doi.org/10.1007/s10209-022-00914-7openalex-snapshot
Toward automatic motivator selection for autism behavior intervention therapy
inferred← citeshttps://doi.org/10.1007/s10462-025-11134-9openalex-snapshot
An actor-critic based recommender system with context-aware user modeling
inferred← citeshttps://doi.org/10.1007/s11042-024-18296-8openalex-snapshot
DRL-HIFA: a dynamic recommendation system with deep reinforcement learning based Hidden Markov Weight Updation and factor analysis
inferred← citeshttps://doi.org/10.1007/s11280-022-01035-0openalex-snapshot
Intra- and inter-association attention network-enhanced policy learning for social group recommendation
inferred← citeshttps://doi.org/10.1007/s11280-022-01135-xopenalex-snapshot
DIRS-KG: a KG-enhanced interactive recommender system based on deep reinforcement learning
inferred← citeshttps://doi.org/10.1007/s40747-022-00871-xopenalex-snapshot
Dynamic multi-objective sequence-wise recommendation framework via deep reinforcement learning
inferred← citeshttps://doi.org/10.1007/s44163-026-02098-yopenalex-snapshot
Long-term engagement-oriented short video recommendation via deep reinforcement learning
inferred← citeshttps://doi.org/10.1007/s44196-022-00176-4openalex-snapshot
Learning Style Integrated Deep Reinforcement Learning Framework for Programming Problem Recommendation in Online Judge System
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.109189openalex-snapshot
Context-aware reinforcement learning for course recommendation
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110905openalex-snapshot
Multi-scale reinforced profile for personalized recommendation with deep neural networks in MOOCs
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.114380openalex-snapshot
Evolutionary reinforcement learning for explainable recommendation on knowledge graph
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118926openalex-snapshot
REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102740openalex-snapshot
An adaptive meta-imitation learning-based recommendation environment simulator: A case study on ship-cargo matching
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103833openalex-snapshot
Towards long-term depolarized interactive recommendations
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104265openalex-snapshot
User engagement and its resilience enhancement mechanisms in online communities: An integrated approach with deep reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110335openalex-snapshot
Deep reinforcement learning in recommender systems: A survey and new perspectives
inferred← citeshttps://doi.org/10.1109/access.2022.3181164openalex-snapshot
Multiobjective Deep Reinforcement Learning for Recommendation Systems
inferred← citeshttps://doi.org/10.1109/access.2024.3420395openalex-snapshot
RLISR: A Deep Reinforcement Learning Based Interactive Service Recommendation Model
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/icais50930.2021.9395812openalex-snapshot
A Review on Reinforcement Learning based News Recommendation Systems and its challenges
inferred← citeshttps://doi.org/10.1109/tii.2022.3209290openalex-snapshot
A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3280161openalex-snapshot
A Survey on Reinforcement Learning for Recommender Systems
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3309906openalex-snapshot
Mild Policy Evaluation for Offline Actor–Critic
inferred← citeshttps://doi.org/10.1142/s0218126626501380openalex-snapshot
Improved DQN-Based Personalized Learning Path Planning for Enhanced Chinese Language Education
inferred← citeshttps://doi.org/10.1145/3447683openalex-snapshot
Cross-domain Recommendation with Bridge-Item Embeddings
inferred← citeshttps://doi.org/10.1145/3451397openalex-snapshot
Graph-Based Stock Recommendation by Time-Aware Relational Attention Network
inferred← citeshttps://doi.org/10.1145/3459637.3482357openalex-snapshot
Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning
inferred← citeshttps://doi.org/10.1145/3460231.3474256openalex-snapshot
Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation
inferred← citeshttps://doi.org/10.1145/3487047openalex-snapshot
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction
inferred← citeshttps://doi.org/10.1145/3543846openalex-snapshot
Reinforcement Learning based Recommender Systems: A Survey
inferred← citeshttps://doi.org/10.1145/3581641.3584032openalex-snapshot
Enabling Goal-Focused Exploration of Podcasts in Interactive Recommender Systems
inferred← citeshttps://doi.org/10.1145/3596519openalex-snapshot
A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems
inferred← citeshttps://doi.org/10.1145/3604915.3610641openalex-snapshot
Integrating Offline Reinforcement Learning with Transformers for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3627673.3679633openalex-snapshot
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3643565openalex-snapshot
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph
inferred← citeshttps://doi.org/10.1145/3769471openalex-snapshot
Beyond Trade-offs: Leveraging Spatiotemporal Heterogeneity of User Preference for Long-term Fairness and Accuracy in Interactive Recommendation
inferred← citeshttps://doi.org/10.11606/d.55.2021.tde-23062021-105306openalex-snapshot
Exploiting Inter-session Dynamics for Long Intra-Session Sequences of Interactions with Deep Reinforcement Learning for Session-Aware Recommendation
inferred← citeshttps://doi.org/10.21203/rs.3.rs-320352/v1openalex-snapshot
Towards Automatic Motivator Selection for Autism Behavior Intervention Therapy
inferred← citeshttps://doi.org/10.3390/electronics13214331openalex-snapshot
Natural Language Processing and Machine Learning-Based Solution of Cold Start Problem Using Collaborative Filtering Approach
inferred← citeshttps://doi.org/10.3390/en16031512openalex-snapshot
A Systematic Study on Reinforcement Learning Based Applications
inferred← citeshttps://doi.org/10.46300/9106.2022.16.73openalex-snapshot
Intelligent Network Traffic Control Based on Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2001.09595openalex-snapshot
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2109.03540openalex-snapshot
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions
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Core Technologies in Recommender Systems: Investigating and Analyzing Standard Implementations
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