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Retention Induced Biases in a Recommendation System with Heterogeneous Users

https://doi.org/10.2139/ssrn.4684539
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inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_11openalex-extracted
Recommender Systems in Industry: A Netflix Case Study
inferredcites →https://doi.org/10.1007/s10796-017-9782-yopenalex-extracted
User Personality and User Satisfaction with Recommender Systems
inferredcites →https://doi.org/10.1016/j.knosys.2020.106478openalex-extracted
DeepRank: Learning to rank with neural networks for recommendation
inferredcites →https://doi.org/10.1016/j.procs.2023.10.224openalex-extracted
On the role of user segmentation in recommender systems’ performances
inferredcites →https://doi.org/10.1109/icdm.2010.127openalex-extracted
Factorization Machines
inferredcites →https://doi.org/10.1109/icse-seip58684.2023.00033openalex-extracted
A/B Integrations: 7 Lessons Learned from Enabling A/B testing as a Product Feature
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-extracted
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1145/1719970.1719976openalex-extracted
Personalized news recommendation based on click behavior
inferredcites →https://doi.org/10.1145/1864708.1864764openalex-extracted
List-wise learning to rank with matrix factorization for collaborative filtering
inferredcites →https://doi.org/10.1145/2668067.2668072openalex-extracted
Predicting User Engagement in Twitter with Collaborative Ranking
inferredcites →https://doi.org/10.1145/2872427.2883090openalex-extracted
Modeling User Exposure in Recommendation
inferredcites →https://doi.org/10.1145/2911451.2911537openalex-extracted
Learning to Rank with Selection Bias in Personal Search
inferredcites →https://doi.org/10.1145/3038912.3052585openalex-extracted
Learning to Recommend Accurate and Diverse Items
inferredcites →https://doi.org/10.1145/3077136.3080777openalex-extracted
Neural Factorization Machines for Sparse Predictive Analytics
inferredcites →https://doi.org/10.1145/3159652.3159732openalex-extracted
Position Bias Estimation for Unbiased Learning to Rank in Personal Search
inferredcites →https://doi.org/10.1145/3292500.3330668openalex-extracted
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems
inferredcites →https://doi.org/10.1145/3292500.3330790openalex-extracted
Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics
inferredcites →https://doi.org/10.1145/3340531.3412152openalex-extracted
Feedback Loop and Bias Amplification in Recommender Systems
inferredcites →https://doi.org/10.1145/3543873.3584640openalex-extracted
Reinforcing User Retention in a Billion Scale Short Video Recommender System
inferredcites →https://doi.org/10.1145/3564284openalex-extracted
Bias and Debias in Recommender System: A Survey and Future Directions
inferredcites →https://doi.org/10.1177/0962280220921889openalex-extracted
A tutorial on frailty models
inferredcites →https://doi.org/10.3390/su13116165openalex-extracted
Customer Satisfaction of Recommender System: Examining Accuracy and Diversity in Several Types of Recommendation Approaches
inferredcites →https://doi.org/10.48550/arxiv.1511.06939openalex-extracted
Session-based Recommendations with Recurrent Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.2206.02620openalex-snapshot
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
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