How many bits per rating? - Daniel Kluver; Tien T. Nguyen; Michael D. Ekstrand; Shilad Sen; John Riedl (RecSys, 2012)

Rating support interfaces to improve user experience and recommender accuracy. - Tien T. Nguyen; Daniel Kluver; Ting-Yu Wang; Pik-Mai Hui; Michael D. Ekstrand; Martijn C. Willemsen; John Riedl (RecSys, 2013)

Evaluating recommender behavior for new users. - Daniel Kluver; Joseph A. Konstan (RecSys, 2014)

Letting Users Choose Recommender Algorithms: An Experimental Study. - Michael D. Ekstrand; Daniel Kluver; F. Maxwell Harper; Joseph A. Konstan (RecSys, 2015)

User Session Identification Based on Strong Regularities in Inter-activity Time. - Aaron Halfaker; Oliver Keyes; Daniel Kluver; Jacob Thebault-Spieker; Tien T. Nguyen; Kenneth Shores; Anuradha Uduwage; Morten Warncke-Wang (WWW, 2015)

Understanding Emoji Ambiguity in Context: The Role of Text in Emoji-Related Miscommunication. - Hannah Jean Miller; Daniel Kluver; Jacob Thebault-Spieker; Loren G. Terveen; Brent J. Hecht (ICWSM, 2017)

Simulation Experiments on (the Absence of) Ratings Bias in Reputation Systems. - Jacob Thebault-Spieker; Daniel Kluver; Maximilian A. Klein; Aaron Halfaker; Brent J. Hecht; Loren G. Terveen; Joseph A. Konstan (Proc. ACM Hum. Comput. Interact., 2017)

Exploring author gender in book rating and recommendation. - Michael D. Ekstrand; Mucun Tian; Mohammed R. Imran Kazi; Hoda Mehrpouyan; Daniel Kluver (RecSys, 2018)

What I See is What You Don't Get: The Effects of (Not) Seeing Emoji Rendering Differences across Platforms. - Hannah Miller Hillberg; Zachary Levonian; Daniel Kluver; Loren Terveen; Brent J. Hecht (Proc. ACM Hum. Comput. Interact., 2018)

Rating-Based Collaborative Filtering: Algorithms and Evaluation. - Daniel Kluver; Michael D. Ekstrand; Joseph A. Konstan (Social Information Access, 2018)

Effective Strategies for Crowd-Powered Cognitive Reappraisal Systems: A Field Deployment of the Flip*Doubt Web Application for Mental Health. - C. Estelle Smith; William Lane 003; Hannah Miller Hillberg; Daniel Kluver; Loren Terveen; Svetlana Yarosh (Proc. ACM Hum. Comput. Interact., 2021)

Exploring author gender in book rating and recommendation. - Michael D. Ekstrand; Daniel Kluver (User Model. User Adapt. Interact., 2021)

The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens. - Guy Aridor; Duarte Gonçalves; Daniel Kluver; Ruoyan Kong; Joseph A. Konstan (EC, 2023)

The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems. - Guy Aridor; Duarte Gonçalves; Ruoyan Kong; Daniel Kluver; Joseph A. Konstan (RecSys, 2024)

Why They Come And Go: A Case Study of Productive Flyby Users and Their Rating Integrity Challenge in Movie Recommenders. - Ruixuan Sun; Ruoyan Kong; Ashlee Milton; Daniel Kluver; Ian Paterson; Joseph A. Konstan (CHIIR, 2025)