Ruoyan Kong

According to our database, Ruoyan Kong authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment.

Ruixuan Sun, Avinash Akella, Ruoyan Kong, Moyan Zhou, Joseph A. Konstan

Int. J. Hum. Comput. Interact., November, 2024

Supporting Organizations in Improving Employee Bulk E-mail - A Tool Design and Evaluation Study.

Ruoyan Kong, Ruixuan Sun, Charles Chuankai Zhang, Ye Yuan, Joseph A. Konstan

Proc. ACM Hum. Comput. Interact., 2024

What Are We Optimizing For? A Human-centric Evaluation Of Deep Learning-based Recommender Systems.

Ruixuan Sun, Avinash Akella, Xinyi Wu, Ruoyan Kong, Joseph A. Konstan

CoRR, 2024

COVID-19 as Reflected in University President Bulk Email.

Ruoyan Kong, Charles Chuankai Zhang, Jin Kang, Haiyi Zhu, Joseph A. Konstan

CoRR, 2024

The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems.

Guy Aridor, Duarte Gonçalves, Ruoyan Kong, Daniel Kluver, Joseph A. Konstan

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders.

Ruixuan Sun, Xinyi Wu, Avinash Akella, Ruoyan Kong, Bart P. Knijnenburg, Joseph A. Konstan

Proceedings of the 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

2023

Towards an Effective Organization-Wide Bulk Email System.

Ruoyan Kong

CoRR, 2023

Organizational Bulk Email Systems: Their Role and Performance in Remote Work.

Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan

CoRR, 2023

HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace.

Yunzhong He, Cong Zhang, Ruoyan Kong, Chaitanya Kulkarni, Qing Liu, Ashish Gandhe, Amit Nithianandan, Arul Prakash

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems.

Ruixuan Sun, Ruoyan Kong, Qiao Jin, Joseph A. Konstan

Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens.

Guy Aridor, Duarte Gonçalves, Daniel Kluver, Ruoyan Kong, Joseph A. Konstan

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models.

Ruoyan Kong, Ruixuan Sun, Charles Chuankai Zhang, Chen Chen, Sneha Patri, Gayathri Gajjela, Joseph A. Konstan

Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023

2022

Working for the Invisible Machines or Pumping Information into an Empty Void? An Exploration of Wikidata Contributors' Motivations.

Charles Chuankai Zhang, Mo Houtti, C. Estelle Smith, Ruoyan Kong, Loren Terveen

Proc. ACM Hum. Comput. Interact., 2022

Multi-Objective Personalization in Multi-Stakeholder Organizational Bulk E-mail: A Field Experiment.

Ruoyan Kong, Charles Chuankai Zhang, Ruixuan Sun, Vishnu Chhabra, Tanushsrisai Nadimpalli, Joseph A. Konstan

Proc. ACM Hum. Comput. Interact., 2022

2021

Learning to Ignore: A Case Study of Organization-Wide Bulk Email Effectiveness.

Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan

Proc. ACM Hum. Comput. Interact., 2021

Virtual Reality System for Invasive Therapy.

Ruoyan Kong, Ruobing Wang, Zitao Shen

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2021

NimbleLearn: A Scalable and Fast Batch-mode Active Learning Approach.

Ruoyan Kong, Zhanlong Qiu, Yang Liu, Qi Zhao

Proceedings of the 2021 International Conference on Data Mining, 2021

2016

Group Preference Aggregation: A Nash Equilibrium Approach.

Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen

Proceedings of the IEEE 16th International Conference on Data Mining, 2016