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2020 – today
- 2024
[j5]Ruixuan Sun
, Avinash Akella, Ruoyan Kong, Moyan Zhou, Joseph A. Konstan:
Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment. Int. J. Hum. Comput. Interact. 40(22): 7233-7247 (2024)- [j4]Ruoyan Kong, Ruixuan Sun, Charles Chuankai Zhang, Ye Yuan, Joseph A. Konstan:
Supporting Organizations in Improving Employee Bulk E-mail - A Tool Design and Evaluation Study. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-28 (2024) - [c9]Ruixuan Sun, Xinyi Wu, Avinash Akella, Ruoyan Kong, Bart P. Knijnenburg, Joseph A. Konstan:
What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders. IntRS@RecSys 2024: 59-70 - [c8]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 - [i12]Ruoyan Kong, Charles Chuankai Zhang, Jin Kang, Haiyi Zhu, Joseph A. Konstan:
COVID-19 as Reflected in University President Bulk Email. CoRR abs/2401.11135 (2024) - [i11]Ruixuan Sun, Avinash Akella, Xinyi Wu, Ruoyan Kong, Joseph A. Konstan:
What Are We Optimizing For? A Human-centric Evaluation Of Deep Learning-based Recommender Systems. CoRR abs/2401.11632 (2024) - [i10]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
- [c7]Ruoyan Kong, Ruixuan Sun, Charles Chuankai Zhang, Chen Chen, Sneha Patri, Gayathri Gajjela, Joseph A. Konstan:
Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models. ETRA 2023: 10:1-10:7 - [c6]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 - [c5]Ruixuan Sun, Ruoyan Kong, Qiao Jin, Joseph A. Konstan:
Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems. UMAP (Adjunct Publication) 2023: 291-295 - [c4]Yunzhong He, Cong Zhang, Ruoyan Kong, Chaitanya Kulkarni, Qing Liu, Ashish Gandhe, Amit Nithianandan, Arul Prakash:
HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace. WWW (Companion Volume) 2023: 331-335 - [i9]Yunzhong He, Cong Zhang, Ruoyan Kong, Chaitanya Kulkarni, Qing Liu, Ashish Gandhe, Amit Nithianandan, Arul Prakash:
HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace. CoRR abs/2302.10527 (2023) - [i8]Ruoyan Kong, Charles Chuankai Zhang, Ruixuan Sun, Vishnu Chhabra, Tanushsrisai Nadimpalli, Joseph A. Konstan:
Multi-Objective Personalization in Multi-Stakeholder Organizational Bulk E-mail: A Field Experiment. CoRR abs/2302.11156 (2023) - [i7]Ruoyan Kong, Ruixuan Sun, Charles Chuankai Zhang, Chen Chen, Sneha Patri, Gayathri Gajjela, Joseph A. Konstan:
Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models. CoRR abs/2306.07455 (2023) - [i6]Ruixuan Sun, Ruoyan Kong, Qiao Jin, Joseph A. Konstan:
Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems. CoRR abs/2306.11279 (2023) - [i5]Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan:
Organizational Bulk Email Systems: Their Role and Performance in Remote Work. CoRR abs/2308.05085 (2023) - [i4]Ruoyan Kong:
Towards an Effective Organization-Wide Bulk Email System. CoRR abs/2308.09167 (2023) - [i3]Ruixuan Sun, Avinash Akella, Ruoyan Kong, Moyan Zhou, Joseph A. Konstan:
Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment. CoRR abs/2309.13296 (2023) - 2022
- [j3]Charles Chuankai Zhang, Mo Houtti, C. Estelle Smith, Ruoyan Kong, Loren Terveen:
Working for the Invisible Machines or Pumping Information into an Empty Void? An Exploration of Wikidata Contributors' Motivations. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 135:1-135:21 (2022) - [j2]Ruoyan Kong, Charles Chuankai Zhang, Ruixuan Sun, Vishnu Chhabra, Tanushsrisai Nadimpalli, Joseph A. Konstan:
Multi-Objective Personalization in Multi-Stakeholder Organizational Bulk E-mail: A Field Experiment. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-27 (2022) - [i2]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
- [j1]Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan:
Learning to Ignore: A Case Study of Organization-Wide Bulk Email Effectiveness. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 80:1-80:23 (2021) - [c3]Ruoyan Kong, Zhanlong Qiu, Yang Liu, Qi Zhao:
NimbleLearn: A Scalable and Fast Batch-mode Active Learning Approach. ICDM (Workshops) 2021: 350-359 - [c2]Ruoyan Kong, Ruobing Wang, Zitao Shen:
Virtual Reality System for Invasive Therapy. VR Workshops 2021: 689-690 - 2020
- [i1]Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan:
Learning to Ignore: A Case Study of Organization-Wide Bulk Email Effectiveness. CoRR abs/2006.16508 (2020)
2010 – 2019
- 2016
- [c1]Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen:
Group Preference Aggregation: A Nash Equilibrium Approach. ICDM 2016: 679-688
Coauthor Index
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