Human Interaction with Recommendation Systems

1 March 2017

Papers citing "Human Interaction with Recommendation Systems"

26 / 26 papers shown

Title
When Online Algorithms Influence the Environment: A Dynamical Systems Analysis of the Unintended Consequences Prabhat Lankireddy Jayakrishnan Nair D Manjunath 67 0 0 21 Nov 2024
Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions Tian Xie Xueru Zhang 42 3 0 12 May 2024
DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops Hangtong Xu Yuanbo Xu Yongjian Yang Fuzhen Zhuang Hui Xiong 28 1 0 10 Nov 2023
Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces Omer Nahum Gali Noti David C. Parkes Nir Rosenfeld 26 2 0 18 Jun 2023
Counterfactual Augmentation for Multimodal Learning Under Presentation Bias Victoria Lin Louis-Philippe Morency Dimitrios Dimitriadis Srinagesh Sharma CML 37 1 0 23 May 2023
One-shot Machine Teaching: Cost Very Few Examples to Converge Faster Chen Zhang Xiaofeng Cao Yi Chang Ivor W Tsang 14 0 0 13 Dec 2022
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement Eden Saig Nir Rosenfeld 38 3 0 24 Nov 2022
Incentive-Aware Recommender Systems in Two-Sided Markets Xiaowu Dai Wenlu Xu Yuan Qi Michael I. Jordan 11 6 0 23 Nov 2022
Data Feedback Loops: Model-driven Amplification of Dataset Biases Rohan Taori Tatsunori B. Hashimoto 83 44 0 08 Sep 2022
Breaking Feedback Loops in Recommender Systems with Causal Inference K. Krauth Yixin Wang Michael I. Jordan CML 59 19 0 04 Jul 2022
In the Eye of the Beholder: Robust Prediction with Causal User Modeling Amir Feder G. Horowitz Yoav Wald Roi Reichart Nir Rosenfeld OOD 21 7 0 01 Jun 2022
Preference Dynamics Under Personalized Recommendations Sarah Dean Jamie Morgenstern 80 34 0 25 May 2022
Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions Adam Lesnikowski Gabriel de Souza P. Moreira Sara Rabhi K. Byleen-Higley ELM 36 2 0 21 Dec 2021
Correcting the User Feedback-Loop Bias for Recommendation Systems Weishen Pan Sen Cui Hongyi Wen Kun Chen Changshui Zhang Fei Wang 24 7 0 13 Sep 2021
T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems Eli Lucherini Matthew Sun Amy A. Winecoff Arvind Narayanan 31 23 0 19 Jul 2021
Bandit based centralized matching in two-sided markets for peer to peer lending Soumajyoti Sarkar 18 0 0 06 May 2021
Towards Fair Personalization by Avoiding Feedback Loops Gökhan Çapan Özge Bozal Ilker Gündogdu A. Cemgil 14 2 0 20 Dec 2020
Do Offline Metrics Predict Online Performance in Recommender Systems? K. Krauth Sarah Dean Alex Zhao Wenshuo Guo Mihaela Curmei Benjamin Recht Michael I. Jordan OffRL 24 40 0 07 Nov 2020
Bandit Learning with Delayed Impact of Actions Wei Tang Chien-Ju Ho Yang Liu 19 12 0 24 Feb 2020
A Bayesian Choice Model for Eliminating Feedback Loops Gökhan Çapan Ilker Gündogdu Ali Caner Türkmen Cagri Sofuoglu A. Cemgil 11 2 0 15 Aug 2019
Introduction to Multi-Armed Bandits Aleksandrs Slivkins 28 990 0 15 Apr 2019
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions Francois Belletti K. Lakshmanan Walid Krichene Nicolas Mayoraz Yi-Fan Chen John R. Anderson Taylor Robie Tayo Oguntebi Dan Shirron Amit Bleiwess 37 5 0 08 Apr 2019
Bayesian Exploration with Heterogeneous Agents Nicole Immorlica Jieming Mao Aleksandrs Slivkins Zhiwei Steven Wu 32 24 0 19 Feb 2019
Scalable Realistic Recommendation Datasets through Fractal Expansions Francois Belletti K. Lakshmanan Walid Krichene Yi-Fan Chen John R. Anderson 25 19 0 23 Jan 2019
Machine Teaching of Active Sequential Learners Tomi Peltola M. Çelikok Pedram Daee Samuel Kaski 27 25 0 08 Sep 2018
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 169 314 0 30 Oct 2017