Takip et
Jingjing Zhang
Jingjing Zhang
Indiana University
iu.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Do recommender systems manipulate consumer preferences? A study of anchoring effects
G Adomavicius, JC Bockstedt, SP Curley, J Zhang
Information Systems Research 24 (4), 956-975, 2013
3282013
Impact of data characteristics on recommender systems performance
G Adomavicius, J Zhang
ACM Transactions on Management Information Systems (TMIS) 3 (1), 1-17, 2012
2102012
Effects of online recommendations on consumers’ willingness to pay
G Adomavicius, JC Bockstedt, SP Curley, J Zhang
Information Systems Research 29 (1), 84-102, 2018
1672018
Stability of recommendation algorithms
G Adomavicius, J Zhang
ACM Transactions on Information Systems (TOIS) 30 (4), 1-31, 2012
1562012
Consumption and performance: Understanding longitudinal dynamics of recommender systems via an agent-based simulation framework
J Zhang, G Adomavicius, A Gupta, W Ketter
Information Systems Research 31 (1), 76-101, 2020
1132020
Exploring explanation effects on consumers’ trust in online recommender agents
J Zhang, SP Curley
International Journal of Human–Computer Interaction 34 (5), 421-432, 2018
832018
Recommender systems, consumer preferences, and anchoring effects
G Adomavicius, J Bockstedt, S Curley, J Zhang
RecSys 2011 workshop on human decision making in recommender systems, 35-42, 2011
732011
De-biasing user preference ratings in recommender systems
G Adomavicius, J Bockstedt, S Curley, J Zhang
RecSys 2014 Workshop on Interfaces and Human Decision Making for Recommender …, 2014
622014
Reducing Recommender System Biases
G Adomavicius, JC Bockstedt, SP Curley, J Zhang
Mis Quarterly 43 (4), 1321-A13, 2019
522019
Classification, ranking, and top-K stability of recommendation algorithms
G Adomavicius, J Zhang
INFORMS Journal on Computing 28 (1), 129-147, 2016
422016
The hidden side effects of recommendation systems
G Adomavicius, J Bockstedt, SP Curley, J Zhang, S Ransbotham
MIT Sloan Management Review 60 (2), 1, 2019
362019
Improving stability of recommender systems: a meta-algorithmic approach
G Adomavicius, J Zhang
IEEE Transactions on Knowledge and Data Engineering 27 (6), 1573-1587, 2014
34*2014
When Algorithms Err: Differential Impact of Early vs. Late Errors on Users’ Reliance on Algorithms
A Kim, M Yang, J Zhang
ACM Transactions on Computer-Human Interaction 30 (1), 1-36, 2023
282023
Reducing recommender systems biases: An investigation of rating display designs
G Adomavicius, J Bockstedt, S Curley, J Zhang
MIS Quarterly 43 (4), 19-18, 2019
232019
Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences.
G Adomavicius, JC Bockstedt, SP Curley, J Zhang
IntRS@ RecSys, 14-21, 2016
202016
Effects of Online Recommendations on Consumers' Willingness to Pay.
G Adomavicius, JC Bockstedt, SP Curley, J Zhang
Decisions@ RecSys, 40-45, 2012
202012
Anchoring effects of recommender systems
J Zhang
Proceedings of the fifth ACM conference on Recommender systems, 375-378, 2011
202011
A texture-based methodology for identifying tissue type in magnetic resonance images
M Barnathan, J Zhang, E Miranda, V Megalooikonomou, S Faro, ...
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008
182008
Understanding the impact of individual users’ rating characteristics on the predictive accuracy of recommender systems
X Cheng, J Zhang, L Yan
INFORMS Journal on Computing 32 (2), 303-320, 2020
162020
Effects of personalized recommendations versus aggregate ratings on post-consumption preference responses
G Adomavicius, J Bockstedt, S Curley, J Zhang
Adomavicius, G., Bockstedt, J., Curley, S., and Zhang, J.(2022)``Effects of …, 2021
152021
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