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2020 – today
- 2024
[c9]Guy Aridor
, Duarte Gonçalves, Ruoyan Kong, Daniel Kluver, Joseph A. Konstan:
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems. RecSys 2024: 1- [i4]Guy Aridor, Duarte Gonçalves, Ruoyan Kong, Daniel Kluver, Joseph A. Konstan:
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems. CoRR abs/2405.11053 (2024) - 2023
- [c8]Guy Aridor, Duarte Gonçalves, Daniel Kluver, Ruoyan Kong, Joseph A. Konstan:
The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens. EC 2023: 117 - 2022
- [i3]Guy Aridor, Duarte Gonçalves, Daniel Kluver, Ruoyan Kong, Joseph A. Konstan:
The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens. CoRR abs/2211.14219 (2022) - 2021
- [j4]C. Estelle Smith, William Lane, Hannah Miller Hillberg, Daniel Kluver, Loren Terveen, Svetlana Yarosh:
Effective Strategies for Crowd-Powered Cognitive Reappraisal Systems: A Field Deployment of the Flip*Doubt Web Application for Mental Health. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 417:1-417:37 (2021) - [j3]Michael D. Ekstrand, Daniel Kluver:
Exploring author gender in book rating and recommendation. User Model. User Adapt. Interact. 31(3): 377-420 (2021)
2010 – 2019
- 2018
- [j2]Hannah Miller Hillberg, Zachary Levonian, Daniel Kluver, Loren Terveen, Brent J. Hecht:
What I See is What You Don't Get: The Effects of (Not) Seeing Emoji Rendering Differences across Platforms. Proc. ACM Hum. Comput. Interact. 2(CSCW): 124:1-124:24 (2018) - [c7]Michael D. Ekstrand, Mucun Tian, Mohammed R. Imran Kazi, Hoda Mehrpouyan, Daniel Kluver:
Exploring author gender in book rating and recommendation. RecSys 2018: 242-250 - [p1]Daniel Kluver, Michael D. Ekstrand, Joseph A. Konstan:
Rating-Based Collaborative Filtering: Algorithms and Evaluation. Social Information Access 2018: 344-390 - [i2]Michael D. Ekstrand, Mucun Tian, Mohammed R. Imran Kazi, Hoda Mehrpouyan, Daniel Kluver:
Exploring Author Gender in Book Rating and Recommendation. CoRR abs/1808.07586 (2018) - 2017
- [j1]Jacob Thebault-Spieker, Daniel Kluver, Maximilian A. Klein, Aaron Halfaker, Brent J. Hecht, Loren G. Terveen, Joseph A. Konstan:
Simulation Experiments on (the Absence of) Ratings Bias in Reputation Systems. Proc. ACM Hum. Comput. Interact. 1(CSCW): 101:1-101:25 (2017) - [c6]Hannah Jean Miller, Daniel Kluver, Jacob Thebault-Spieker, Loren G. Terveen, Brent J. Hecht:
Understanding Emoji Ambiguity in Context: The Role of Text in Emoji-Related Miscommunication. ICWSM 2017: 152-161 - 2015
- [c5]Michael D. Ekstrand, Daniel Kluver, F. Maxwell Harper, Joseph A. Konstan:
Letting Users Choose Recommender Algorithms: An Experimental Study. RecSys 2015: 11-18 - [c4]Aaron Halfaker, Oliver Keyes, Daniel Kluver, Jacob Thebault-Spieker, Tien T. Nguyen, Kenneth Shores, Anuradha Uduwage, Morten Warncke-Wang:
User Session Identification Based on Strong Regularities in Inter-activity Time. WWW 2015: 410-418 - 2014
- [c3]Daniel Kluver, Joseph A. Konstan:
Evaluating recommender behavior for new users. RecSys 2014: 121-128 - [i1]Aaron Halfaker, Oliver Keyes, Daniel Kluver, Jacob Thebault-Spieker, Tien T. Nguyen, Kenneth Shores, Anuradha Uduwage, Morten Warncke-Wang:
User Session Identification Based on Strong Regularities in Inter-activity Time. CoRR abs/1411.2878 (2014) - 2013
- [c2]Tien T. Nguyen, Daniel Kluver, Ting-Yu Wang, Pik-Mai Hui, Michael D. Ekstrand, Martijn C. Willemsen, John Riedl:
Rating support interfaces to improve user experience and recommender accuracy. RecSys 2013: 149-156 - 2012
- [c1]Daniel Kluver, Tien T. Nguyen, Michael D. Ekstrand, Shilad Sen, John Riedl:
How many bits per rating? RecSys 2012: 99-106
Coauthor Index
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