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CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.aiopen.2021.06.002openalex-snapshot
Advances and challenges in conversational recommender systems: A survey
inferredcites →https://doi.org/10.1016/j.knosys.2021.108075openalex-snapshot
Mixhead: Breaking the low-rank bottleneck in multi-head attention language models
inferredcites →https://doi.org/10.1016/s0925-2312(00)00324-6openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1093/poq/nfw006openalex-snapshot
Filter Bubbles, Echo Chambers, and Online News Consumption
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/icdm.2001.989492openalex-snapshot
Proceedings 2001 IEEE International Conference on Data Mining
inferredcites →https://doi.org/10.1109/icra.2018.8463189openalex-snapshot
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
inferredcites →https://doi.org/10.1109/tbdata.2022.3205334openalex-snapshot
Who are the Best Adopters? User Selection Model for Free Trial Item Promotion
inferredcites →https://doi.org/10.1109/tpami.2013.218openalex-snapshot
Gaussian Processes for Data-Efficient Learning in Robotics and Control
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/2783258.2788602openalex-snapshot
From Infrastructure to Culture
inferredcites →https://doi.org/10.1145/2872427.2883090openalex-snapshot
Modeling User Exposure in Recommendation
inferredcites →https://doi.org/10.1145/3159652.3159687openalex-snapshot
Offline A/B Testing for Recommender Systems
inferredcites →https://doi.org/10.1145/3172944.3172970openalex-snapshot
Burst Your Bubble! An Intelligent System for Improving Awareness of Diverse Social Opinions
inferredcites →https://doi.org/10.1145/3240323.3240360openalex-snapshot
Causal embeddings for recommendation
inferredcites →https://doi.org/10.1145/3240323.3240370openalex-snapshot
How algorithmic confounding in recommendation systems increases homogeneity and decreases utility
inferredcites →https://doi.org/10.1145/3289600.3290999openalex-snapshot
Top-K Off-Policy Correction for a REINFORCE Recommender System
inferredcites →https://doi.org/10.1145/3292500.3330668openalex-snapshot
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems
inferredcites →https://doi.org/10.1145/3336191.3371783openalex-snapshot
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback
inferredcites →https://doi.org/10.1145/3336191.3371858openalex-snapshot
End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding
inferredcites →https://doi.org/10.1145/3351095.3372879openalex-snapshot
Auditing radicalization pathways on YouTube
inferredcites →https://doi.org/10.1145/3375462.3375524openalex-snapshot
Designing for serendipity in a university course recommendation system
inferredcites →https://doi.org/10.1145/3383313.3412246openalex-snapshot
Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems
inferredcites →https://doi.org/10.1145/3383313.3412252openalex-snapshot
Keeping Dataset Biases out of the Simulation
inferredcites →https://doi.org/10.1145/3383313.3412261openalex-snapshot
Unbiased Learning for the Causal Effect of Recommendation
inferredcites →https://doi.org/10.1145/3386392.3399566openalex-snapshot
How YouTube Leads Privacy-Seeking Users Away from Reliable Information
inferredcites →https://doi.org/10.1145/3392854openalex-snapshot
Measuring Misinformation in Video Search Platforms: An Audit Study on YouTube
inferredcites →https://doi.org/10.1145/3394486.3403229openalex-snapshot
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions
inferredcites →https://doi.org/10.1145/3397271.3401083openalex-snapshot
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data
inferredcites →https://doi.org/10.1145/3397271.3401147openalex-snapshot
Self-Supervised Reinforcement Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3397271.3401174openalex-snapshot
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
inferredcites →https://doi.org/10.1145/3397271.3401181openalex-snapshot
Neural Interactive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3404835.3462855openalex-snapshot
Counterfactual Data-Augmented Sequential Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462875openalex-snapshot
Causal Intervention for Leveraging Popularity Bias in Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462962openalex-snapshot
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
inferredcites →https://doi.org/10.1145/3437963.3441764openalex-snapshot
User Response Models to Improve a REINFORCE Recommender System
inferredcites →https://doi.org/10.1145/3437963.3441824openalex-snapshot
Towards Long-term Fairness in Recommendation
inferredcites →https://doi.org/10.1145/3442381openalex-snapshot
Proceedings of the Web Conference 2021
inferredcites →https://doi.org/10.1145/3442381.3450113openalex-snapshot
The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms
inferredcites →https://doi.org/10.1145/3447548.3467249openalex-snapshot
Deconfounded Recommendation for Alleviating Bias Amplification
inferredcites →https://doi.org/10.1145/3447548.3467376openalex-snapshot
Popularity Bias in Dynamic Recommendation
inferredcites →https://doi.org/10.1145/3459637.3482305openalex-snapshot
Top-N Recommendation with Counterfactual User Preference Simulation
inferredcites →https://doi.org/10.1145/3460231.3473325openalex-snapshot
RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation
inferredcites →https://doi.org/10.1145/3460231.3474241openalex-snapshot
An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes
inferredcites →https://doi.org/10.1145/3460231.3474247openalex-snapshot
Pessimistic Reward Models for Off-Policy Learning in Recommendation
inferredcites →https://doi.org/10.1145/3460231.3474261openalex-snapshot
The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending
inferredcites →https://doi.org/10.1145/3460231.3474270openalex-snapshot
I Want to Break Free! Recommending Friends from Outside the Echo Chamber
inferredcites →https://doi.org/10.1145/3477495.3531716openalex-snapshot
State Encoders in Reinforcement Learning for Recommendation
inferredcites →https://doi.org/10.1145/3488560.3498471openalex-snapshot
Choosing the Best of Both Worlds
inferredcites →https://doi.org/10.1145/3498366.3505822openalex-snapshot
Turn and Face the Strange: Investigating Filter Bubble Bursting Information Interactions
inferredcites →https://doi.org/10.1145/3511808.3557300openalex-snapshot
Dynamic Causal Collaborative Filtering
inferredcites →https://doi.org/10.1145/3533725openalex-snapshot
Be Causal: De-Biasing Social Network Confounding in Recommendation
inferredcites →https://doi.org/10.1145/3539618.3591636openalex-snapshot
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation
inferredcites →https://doi.org/10.1145/3564284openalex-snapshot
Bias and Debias in Recommender System: A Survey and Future Directions
inferredcites →https://doi.org/10.1145/3616855openalex-snapshot
Proceedings of the 17th ACM International Conference on Web Search and Data Mining
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.1162/tacl_a_00511openalex-snapshot
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013312openalex-snapshot
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient
inferredcites →https://doi.org/10.1609/aaai.v33i01.33014902openalex-snapshot
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning
inferredcites →https://doi.org/10.1609/aaai.v34i04.5931openalex-snapshot
Diversified Interactive Recommendation with Implicit Feedback
inferredcites →https://doi.org/10.1609/aaai.v35i5.16579openalex-snapshot
A General Offline Reinforcement Learning Framework for Interactive Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2019/360openalex-snapshot
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets
inferredcites →https://doi.org/10.5860/choice.50-0926openalex-snapshot
The filter bubble: how the new personalized Web is changing what we read and how we think
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/mar.22057openalex-snapshot
Prick “filter bubbles” by enhancing consumers' novelty‐seeking: The role of personalized recommendations of unmentionable products
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Aggressive Exploration in Offline Reinforcement Learning for Better Recommendations
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Exploring the Evolution of Recommender Systems Through Social Network Analysis
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LLM-Enhanced Reinforcement Learning for Long-Term User Satisfaction in Interactive Recommendation
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Large Language Models with Multi-faceted Relation Alignment for User Novel Interest Discovery
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Adaptive scheduling for Internet of Vehicles using deconfounded graph transfer learning
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Beyond popularity bias in e-commerce: Aligning collaborative knowledge with large language models via causal intervention for robust recommendations
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Overseas short video recommendations: A multimodal graph convolutional network approach incorporating cultural preferences
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Multimodal recommender systems: A survey of representation, modeling, and optimization
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Dual disentanglement of user–item interaction for recommendation with causal embedding
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Causal inference for alleviating confounding bias in multi-criteria rating recommendation
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DRUM: Distributionally robust optimization for LLM-based user model in interactive recommendation
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Beyond the latest: Correcting Release Interval Bias in short-video recommendation
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Test-Time Learning Framework for Distribution Shifts in Sequential Recommendation
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Hierarchical Reinforcement Learning for Long-term Fairness in Interactive Recommendation
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Who are the Best Adopters? User Selection Model for Free Trial Item Promotion
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Defending Against Membership Inference Attack for Counterfactual Federated Recommendation With Differentially Private Representation Learning
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inferred← citeshttps://doi.org/10.1145/3627673.3679633openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3672275openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3726302.3729893openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3726302.3729981openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3757737openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3758092openalex-snapshot
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inferred← citeshttps://doi.org/10.1609/aaai.v38i8.28794openalex-snapshot
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System
inferred← citeshttps://doi.org/10.17513/snt.40009openalex-snapshot
ADAPTIVE RECOMMENDATION SYSTEM FOR MEDIA SERVICES: ANALYSIS OF USER INTERACTIONS AND THEIR IMPACT ON CONTENT PERSONALIZATION
inferred← citeshttps://doi.org/10.26599/tst.2025.9010106openalex-snapshot
FT-HashRAG: Combining Hash Retrieval-Augmented Generation with Fine-Tuning for Universal Explainable Recommendation
inferred← citeshttps://doi.org/10.3389/fsoc.2026.1940431openalex-snapshot
Consensus or conflict? Recommender systems as recursive exposure systems in the production of polarization
inferred← citeshttps://doi.org/10.3390/electronics11203301openalex-snapshot
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems
inferred← citeshttps://doi.org/10.59287/as-proceedings.440openalex-snapshot
Untangling the Role of Data Processing in Enhancing Recommender Systems Performance
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An LLMs-Enhanced Multi-Agent Feedback Modeling Framework for Intelligent Public Funding Allocation
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