| Group preference aggregation: A nash equilibrium approach H Zhao, Q Liu, Y Ge, R Kong, E Chen 2016 IEEE 16th International Conference on Data Mining (ICDM), 679-688, 2016 | 26 | 2016 |
| Learning to ignore: A case study of organization-wide bulk email effectiveness R Kong, H Zhu, JA Konstan Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1), 1-23, 2021 | 21 | 2021 |
| HierCat: hierarchical query categorization from weakly supervised data at Facebook marketplace Y He, C Zhang, R Kong, C Kulkarni, Q Liu, A Gandhe, A Nithianandan, ... Companion Proceedings of the ACM Web Conference 2023, 331-335, 2023 | 13* | 2023 |
| Working for the Invisible Machines or Pumping Information into an Empty Void? An Exploration of Wikidata Contributors' Motivations CC Zhang, M Houtti, CE Smith, R Kong, L Terveen Proceedings of the ACM on Human-Computer Interaction 6 (CSCW1), 1-21, 2022 | 13* | 2022 |
| The economics of recommender systems: Evidence from a field experiment on movielens G Aridor, D Gonçalves, D Kluver, R Kong, J Konstan arXiv preprint arXiv:2211.14219, 2022 | 11 | 2022 |
| Multi-Objective Personalization in Multi-Stakeholder Organizational Bulk E-mail: A Field Experiment R Kong, CC Zhang, R Sun, V Chhabra, T Nadimpalli, JA Konstan Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-27, 2022 | 11 | 2022 |
| Nimblelearn: A scalable and fast batch-mode active learning approach R Kong, Z Qiu, Y Liu, Q Zhao 2021 International Conference on Data Mining Workshops (ICDMW), 350-359, 2021 | 8 | 2021 |
| Virtual Reality System for Invasive Therapy R Kong, R Wang, Z Shen 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and …, 2021 | 7 | 2021 |
| The Challenge of Organizational Bulk Email Systems: Models and Empirical Studies JA Konstan, R Kong The Elgar Companion to Information Economics, 2024 | 6 | 2024 |
| Less can be more: Exploring population rating dispositions with partitioned models in recommender systems R Sun, R Kong, Q Jin, J Konstan Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation …, 2023 | 6* | 2023 |
| Getting the most from eye-tracking: user-interaction based reading region estimation dataset and models R Kong, R Sun, CC Zhang, C Chen, S Patri, G Gajjela, JA Konstan Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 1-7, 2023 | 6 | 2023 |
| Organizational Bulk Email Systems: Their Role and Performance in Remote Work R Kong, H Zhu, JA Konstan arXiv preprint arXiv:2308.05085, 2023 | 4* | 2023 |
| Socially-embedded Agents in Organizational Contexts – Bulk Email as an Example R Kong, JA Konstan Intelligent Systems in the Workplace: Design, Applications, and User Experience, 2024 | 3 | 2024 |
| Towards an Effective Organization-Wide Bulk Email System R Kong University of Minnesota, 2023 | 2 | 2023 |
| The challenge of organizational bulk email systems: Model and empirical studies R Kong, JA Konstan The Elgar Companion to Information Economics, 407-435, 2024 | | 2024 |
| What Are We Optimizing For? A Human-centric Evaluation Of Deep Learning-based Recommender Systems R Sun, A Akella, X Wu, R Kong, JA Konstan arXiv preprint arXiv:2401.11632, 2024 | | 2024 |
| COVID-19 as Reflected in University President Bulk Email (preprint) R Kong, CC Zhang, J Kang, H Zhu, JA Konstan | | 2024 |
| COVID-19 as Reflected in University President Bulk Email R Kong, CC Zhang, J Kang, H Zhu, JA Konstan https://arxiv.org/abs/2401.11135, 2024 | | 2024 |
| Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment R Sun, A Akella, R Kong, M Zhou, JA Konstan International Journal of Human–Computer Interaction, 1-15, 2023 | | 2023 |
Joseph A. KonstanUniversity of MinnesotaVerified email at umn.edu
