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Allison J.B. Chaney
Titel
Zitiert von
Zitiert von
Jahr
How algorithmic confounding in recommendation systems increases homogeneity and decreases utility
AJB Chaney, BM Stewart, BE Engelhardt
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
3452018
Visualizing topic models
A Chaney, D Blei
Proceedings of the International AAAI Conference on Web and Social Media 6 …, 2012
3342012
A probabilistic model for using social networks in personalized item recommendation
AJB Chaney, DM Blei, T Eliassi-Rad
Proceedings of the 9th ACM Conference on Recommender Systems, 43-50, 2015
2282015
How can machine learning aid behavioral marketing research?
L Hagen, K Uetake, N Yang, B Bollinger, AJB Chaney, D Dzyabura, ...
Marketing Letters 31, 361-370, 2020
532020
A large-scale exploration of group viewing patterns
AJB Chaney, M Gartrell, JM Hofman, J Guiver, N Koenigstein, P Kohli, ...
Proceedings of the ACM International Conference on Interactive Experiences …, 2014
342014
Simurec: Workshop on synthetic data and simulation methods for recommender systems research
MD Ekstrand, A Chaney, P Castells, R Burke, D Rohde, M Slokom
Proceedings of the 15th ACM conference on recommender systems, 803-805, 2021
192021
Detecting and characterizing events
AJB Chaney, H Wallach, M Connelly, DM Blei
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
192016
Real-time topic models for crisis counseling
K Dinakar, AJB Chaney, H Lieberman, DM Blei
KDD DSSG Workshop, 1-4, 2014
192014
“Dark patterns” in online services: a motivating study and agenda for future research
J Runge, D Wentzel, JY Huh, A Chaney
Marketing Letters 34 (1), 155-160, 2023
122023
Recommendation system simulations: A discussion of two key challenges
AJB Chaney
arXiv preprint arXiv:2109.02475, 2021
102021
Mining large-scale tv group viewing patterns for group recommendation
A Chaney, M Gartrell, J Hofman, J Guiver, N Koenigstein, P Kohli, ...
Microsoft Research, Technical Report, MSR-TR-2013-114, 2013
72013
Algorithmic recommendations have limited effects on polarization: A naturalistic experiment on YouTube.”
N Liu, MA Baum, AJ Berinsky, AJB Chaney, J de Benedictis-Kessner, ...
September 18, 398-404, 2023
62023
MORS 2021: 1st Workshop on Multi-Objective Recommender Systems
H Abdollahpouri, M Elahi, M Mansoury, S Sahebi, Z Nazari, A Chaney, ...
Proceedings of the 15th ACM Conference on Recommender Systems, 787-788, 2021
32021
Poisson trust factorization for incorporating social networks into personalized item recommendation
AJB Chaney, P Gopalan, D Blei
NIPS Workshop: What Difference Does Personalization Make, 2013
32013
A guide to black box variational inference for gamma distributions
AJ Chaney
12015
Who, what, when, where, and why? A computational approach to understanding historical events using state depart-ment cables
A Chaney, H Wallach, D Blei
Unpublished Working Paper, 2015
12015
Do Online Video Recommendation Algorithms Increase Polarization?
BM Stewart, N Liu, M Baum, AJ Berinsky, AJB Chaney, ...
OSF, 2024
2024
Amended: Do Online Video Recommendation Algorithms Increase Polarization?
N Liu, J Anastasopoulos, M Baum, AJB Chaney, J de Benedictis-Kessner, ...
OSF, 2021
2021
Nonparametric Deconvolution Models
AJB Chaney, A Verma, Y Lee, BE Engelhardt
arXiv preprint arXiv:2003.07718, 2020
2020
Computational Methods for Exploring Human Behavior
AJB Chaney
Princeton University, 2016
2016
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