Shawn Curley

Shawn Curley

University of Minnesota-Twin Cities

H-index: 29

North America-United States

About Shawn Curley

Shawn Curley, With an exceptional h-index of 29 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Minnesota-Twin Cities,

His recent articles reflect a diverse array of research interests and contributions to the field:

Persistence of Recommender-Induced Biases in Consumer Preference Ratings

The effects of digitally delivered nudges in a corporate wellness program

Forecasting Goal-Oriented Activities: A Deep Learning Approach Leveraging Cross-Activity Relationships

Recommender systems, ground truth, and preference pollution

Significance of Task Significance in Online Marketplaces for Work

Effects of personalized recommendations versus aggregate ratings on post-consumption preference responses

Effects of personalized and aggregate top-N recommendation lists on user preference ratings

Reducing recommender systems biases: An investigation of rating display designs

Shawn Curley Information

University

Position

___

Citations(all)

4201

Citations(since 2020)

1101

Cited By

3446

hIndex(all)

29

hIndex(since 2020)

17

i10Index(all)

46

i10Index(since 2020)

23

Email

University Profile Page

University of Minnesota-Twin Cities

Google Scholar

View Google Scholar Profile

Top articles of Shawn Curley

Title

Journal

Author(s)

Publication Date

Persistence of Recommender-Induced Biases in Consumer Preference Ratings

Available at SSRN 4416597

Gediminas Adomavicius

Jesse Bockstedt

Shawn Curley

Jingjng Zhang

2023/4/11

The effects of digitally delivered nudges in a corporate wellness program

Journal of the Association for Information Systems

Yash Babar

Shawn Curley

Zhihong Ke

De Liu

Zachary Sheffler

2023

Forecasting Goal-Oriented Activities: A Deep Learning Approach Leveraging Cross-Activity Relationships

Available at SSRN 4651870

Yi Zhu

Xuan Bi

Gediminas Adomavicius

Shawn Curley

2023/12/3

Recommender systems, ground truth, and preference pollution

AI Magazine

Gediminas Adomavicius

Jesse Bockstedt

Shawn Curley

Jingjing Zhang

2022/6/23

Significance of Task Significance in Online Marketplaces for Work

Yuqing Ren

Shawn Curley

2022/1/4

Effects of personalized recommendations versus aggregate ratings on post-consumption preference responses

Forthcoming, MIS Quarterly, Kelley School of Business Research Paper

Gediminas Adomavicius

Jesse Bockstedt

Shawn Curley

Jingjng Zhang

2021/3/11

Effects of personalized and aggregate top-N recommendation lists on user preference ratings

ACM Transactions on Information Systems (TOIS)

Gediminas Adomavicius

Jesse Bockstedt

Shawn Curley

Jingjing Zhang

2021/1/13

Reducing recommender systems biases: An investigation of rating display designs

Gediminas Adomavicius

Jesse Bockstedt

Shawn Curley

Jingjng Zhang

2021

Increasing system transparency about medical AI recommendations may not improve clinical experts’ decision quality

Available at SSRN

J Clement

Y Ren

S Curley

2021

Ingredients for successful badges: evidence from a field experiment in bike commuting

European Journal of Information Systems

Zachary J Sheffler

De Liu

Shawn P Curley

2020/11/1

How decision complexity affects outcomes in combinatorial auctions

Production and Operations Management

Gediminas Adomavicius

Shawn P Curley

Alok Gupta

Pallab Sanyal

2020/11

See List of Professors in Shawn Curley University(University of Minnesota-Twin Cities)