Jingjing Zhang

26 papers A 2Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
Longitudinal Impact of Preference Biases on Recommender Systems' Performance.
Inf. Syst. Res.
Meizi Zhou, Jingjing Zhang, Gediminas Adomavicius
2023 J jnl
Editorial: Some Thoughts on Reviewing for
Inf. Syst. Res.
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
2022 J jnl
Effects of Personalized Recommendations Versus Aggregate Ratings on Post-Consumption Preference Responses.
MIS Q.
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2022 J jnl
Recommender Systems, Ground Truth, and Preference Pollution.
AI Mag.
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2021 J jnl
Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings.
ACM Trans. Inf. Syst.
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2021 J jnl
Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation.
CoRR
Gediminas Adomavicius, Dietmar Jannach, Stephan Leitner, Jingjing Zhang
2020 J jnl
Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework.
Inf. Syst. Res.
Jingjing Zhang, Gediminas Adomavicius, Alok Gupta, Wolfgang Ketter
2020 J jnl
Understanding the Impact of Individual Users' Rating Characteristics on the Predictive Accuracy of Recommender Systems.
INFORMS J. Comput.
Xiaoye Cheng, Jingjing Zhang, Lu Lucy Yan
2019 J jnl
Reeducing Recommender System Biases: An Investigation of Rating Display Designs.
MIS Q.
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2018 J jnl
Effects of Online Recommendations on Consumers' Willingness to Pay.
Inf. Syst. Res.
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2018 J jnl
Exploring Explanation Effects on Consumers' Trust in Online Recommender Agents.
Int. J. Hum. Comput. Interact.
Jingjing Zhang, Shawn P. Curley
2016 J jnl
Classification, Ranking, and Top-K Stability of Recommendation Algorithms.
INFORMS J. Comput.
Gediminas Adomavicius, Jingjing Zhang
2016 — conf
Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences.
IntRS@RecSys
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2015 J jnl
Improving Stability of Recommender Systems: A Meta-Algorithmic Approach.
IEEE Trans. Knowl. Data Eng.
Gediminas Adomavicius, Jingjing Zhang
2013 J jnl
Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects.
Inf. Syst. Res.
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2012 — conf
Effects of Online Recommendations on Consumers' Willingness to Pay.
Decisions@RecSys
Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang
2012 J jnl
Impact of data characteristics on recommender systems performance.
ACM Trans. Manag. Inf. Syst.
Gediminas Adomavicius, Jingjing Zhang
2012 — conf
Iterative Smoothing Technique for Improving the Stability of Recommender Systems.
RUE@RecSys
Gediminas Adomavicius, Jingjing Zhang
2012 J jnl
Stability of Recommendation Algorithms.
ACM Trans. Inf. Syst.
Gediminas Adomavicius, Jingjing Zhang
2011 A conf
Anchoring effects of recommender systems.
RecSys
Jingjing Zhang
2010 A conf
On the stability of recommendation algorithms.
RecSys
Gediminas Adomavicius, Jingjing Zhang
2008 — conf
A texture-based methodology for identifying tissue type in magnetic resonance images.
ISBI
Michael Barnathan, Jingjing Zhang, Erickson Miranda, Vasileios Megalooikonomou, Scott Faro, Harvey Hensley, Luis Del Valle, Kamel Khalili, Jennifer Gordon, Feroze B. Mohamed
2008 — conf
A web-accessible framework for the automated storage and texture analysis of biomedical images.
ISBI
Michael Barnathan, Jingjing Zhang, Vasileios Megalooikonomou
2008 — conf
Analyzing Tree-Like Structures in Biomedical Images Based on Texture and Branching: An Application to Breast Imaging.
Digital Mammography / IWDM
Michael Barnathan, Jingjing Zhang, Despina Kontos, Predrag R. Bakic, Andrew D. A. Maidment, Vasileios Megalooikonomou
2007 — conf
An Effective and Efficient Technique for Searching for Similar Brain Activation Patterns.
ISBI
Jingjing Zhang, Vasileios Megalooikonomou
2007 — conf
Analysis of texture patterns in medical images with an application to breast imaging.
Computer-Aided Diagnosis
Vasileios Megalooikonomou, Jingjing Zhang, Despina Kontos, Predrag R. Bakic