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Allison J.B. Chaney
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Year
Visualizing topic models
A Chaney, D Blei
Proceedings of the International AAAI Conference on Web and Social Media 6 …, 2012
3362012
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
3142018
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
2312015
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
512020
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
312014
Detecting and characterizing events
AJB Chaney, H Wallach, M Connelly, DM Blei
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
202016
Real-time topic models for crisis counseling
K Dinakar, AJB Chaney, H Lieberman, DM Blei
Twentieth ACM Conference on Knowledge Discovery and Data Mining, Data …, 2014
182014
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
172021
Recommendation system simulations: A discussion of two key challenges
AJB Chaney
arXiv preprint arXiv:2109.02475, 2021
82021
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
“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
52023
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, DM Blei
NIPS Workshop: What Difference Does Personalization Make, 2013
32013
Algorithmic recommendations have limited effects on polarization: A naturalistic experiment on YouTube.”
N Liu, MA Baum, AJ Berinsky, AJB Chaney, J de Benedictis-Kessner, ...
12023
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
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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Articles 1–19