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Jingjing Zhang 0001
Person information
- affiliation: Indiana University, Bloomington, IN, USA
Other persons with the same name
- Jingjing Zhang (aka: Jing-Jing Zhang) — disambiguation page
- Jingjing Zhang 0002
— King's College London, Department of Informatics, London, UK
- Jingjing Zhang 0003
— East China Jiaotong University, School of Science, Nanchang, China
- Jingjing Zhang 0004
— University of Chinese Academy of Sciences, School of Public Policy and Management, Beijing, China
- Jingjing Zhang 0005
— Army Engineering University of PLA, College of Command and Control Engineering, Nanjing, China
- Jingjing Zhang 0006 — Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China (and 1 more)
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2020 – today
- 2023
- [j15]Suprateek Sarker, Edgar A. Whitley
, Khim-Yong Goh, Yili Kevin Hong
, Magnus Mähring
, Pallab Sanyal
, Ning Su
, Heng Xu, Jingjun (David) Xu
, Jingjing Zhang
, Huimin Zhao:
Editorial: Some Thoughts on Reviewing for Information Systems Research and Other Leading Information Systems Journals. Inf. Syst. Res. 34(4): 1321-1338 (2023) - [j14]Antino Kim
, Mochen Yang
, Jingjing Zhang
:
When Algorithms Err : Differential Impact of Early vs. Late Errors on Users' Reliance on Algorithms. ACM Trans. Comput. Hum. Interact. 30(1): 1-36 (2023) - 2022
- [j13]Gediminas Adomavicius
, Jesse C. Bockstedt
, Shawn P. Curley
, Jingjing Zhang
:
Recommender Systems, Ground Truth, and Preference Pollution. AI Mag. 43(2): 177-189 (2022) - [j12]Gediminas Adomavicius
, Jesse C. Bockstedt
, Shawn P. Curley, Jingjing Zhang
:
Effects of Personalized Recommendations Versus Aggregate Ratings on Post-Consumption Preference Responses. MIS Q. 46(1): 627-644 (2022) - 2021
- [j11]Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang:
Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings. ACM Trans. Inf. Syst. 39(2): 13:1-13:38 (2021) - [i1]Gediminas Adomavicius, Dietmar Jannach, Stephan Leitner
, Jingjing Zhang:
Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation. CoRR abs/2108.11068 (2021) - 2020
- [j10]Xiaoye Cheng
, Jingjing Zhang
, Lu Lucy Yan
:
Understanding the Impact of Individual Users' Rating Characteristics on the Predictive Accuracy of Recommender Systems. INFORMS J. Comput. 32(2): 303-320 (2020) - [j9]Jingjing Zhang
, Gediminas Adomavicius
, Alok Gupta
, Wolfgang Ketter
:
Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework. Inf. Syst. Res. 31(1): 76-101 (2020)
2010 – 2019
- 2019
- [j8]Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang:
Reeducing Recommender System Biases: An Investigation of Rating Display Designs. MIS Q. 43(4) (2019) - 2018
- [j7]Jingjing Zhang
, Shawn P. Curley:
Exploring Explanation Effects on Consumers' Trust in Online Recommender Agents. Int. J. Hum. Comput. Interact. 34(5): 421-432 (2018) - [j6]Gediminas Adomavicius, Jesse C. Bockstedt
, Shawn P. Curley, Jingjing Zhang
:
Effects of Online Recommendations on Consumers' Willingness to Pay. Inf. Syst. Res. 29(1): 84-102 (2018) - 2016
- [j5]Gediminas Adomavicius, Jingjing Zhang
:
Classification, Ranking, and Top-K Stability of Recommendation Algorithms. INFORMS J. Comput. 28(1): 129-147 (2016) - [c10]Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang:
Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences. IntRS@RecSys 2016: 14-21 - 2015
- [j4]Gediminas Adomavicius, Jingjing Zhang
:
Improving Stability of Recommender Systems: A Meta-Algorithmic Approach. IEEE Trans. Knowl. Data Eng. 27(6): 1573-1587 (2015) - 2013
- [j3]Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
:
Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects. Inf. Syst. Res. 24(4): 956-975 (2013) - 2012
- [j2]Gediminas Adomavicius, Jingjing Zhang
:
Impact of data characteristics on recommender systems performance. ACM Trans. Manag. Inf. Syst. 3(1): 3:1-3:17 (2012) - [j1]Gediminas Adomavicius, Jingjing Zhang
:
Stability of Recommendation Algorithms. ACM Trans. Inf. Syst. 30(4): 23:1-23:31 (2012) - [c9]Gediminas Adomavicius, Jingjing Zhang:
Iterative Smoothing Technique for Improving the Stability of Recommender Systems. RUE@RecSys 2012: 3-8 - [c8]Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang:
Effects of Online Recommendations on Consumers' Willingness to Pay. Decisions@RecSys 2012: 40-45 - 2011
- [c7]Jingjing Zhang
:
Anchoring effects of recommender systems. RecSys 2011: 375-378 - 2010
- [c6]Gediminas Adomavicius, Jingjing Zhang
:
On the stability of recommendation algorithms. RecSys 2010: 47-54
2000 – 2009
- 2008
- [c5]Michael Barnathan, Jingjing Zhang
, Vasileios Megalooikonomou:
A web-accessible framework for the automated storage and texture analysis of biomedical images. ISBI 2008: 257-259 - [c4]Michael Barnathan, Jingjing Zhang
, Erickson Miranda, Vasileios Megalooikonomou, Scott Faro, Harvey Hensley, Luis Del Valle, Kamel Khalili, Jennifer Gordon, Feroze B. Mohamed:
A texture-based methodology for identifying tissue type in magnetic resonance images. ISBI 2008: 464-467 - [c3]Michael Barnathan, Jingjing Zhang
, Despina Kontos, Predrag R. Bakic
, Andrew D. A. Maidment
, Vasileios Megalooikonomou:
Analyzing Tree-Like Structures in Biomedical Images Based on Texture and Branching: An Application to Breast Imaging. Digital Mammography / IWDM 2008: 25-32 - 2007
- [c2]Jingjing Zhang
, Vasileios Megalooikonomou:
An Effective and Efficient Technique for Searching for Similar Brain Activation Patterns. ISBI 2007: 428-431 - [c1]Vasileios Megalooikonomou, Jingjing Zhang
, Despina Kontos, Predrag R. Bakic
:
Analysis of texture patterns in medical images with an application to breast imaging. Medical Imaging: Computer-Aided Diagnosis 2007: 651421
Coauthor Index
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last updated on 2024-08-23 19:27 CEST by the dblp team
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