Ruoyan Kong

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Recommender Systems

Nash Equilibrium

Active Learning

Top Venues

Proc. ACM Hum. Comput. Interact.

UMAP (Adjunct Publication)

Publications

Guy Aridor, Duarte Gonçalves, Ruoyan Kong, Daniel Kluver, Joseph A. Konstan
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems. CoRR (2024)
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 (2024)
Ruoyan Kong, Charles Chuankai Zhang, Jin Kang, Haiyi Zhu, Joseph A. Konstan
COVID-19 as Reflected in University President Bulk Email. CoRR (2024)
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)
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 (2023)
Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan
Organizational Bulk Email Systems: Their Role and Performance in Remote Work. CoRR (2023)
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 (2023)
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)
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)
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)
Ruoyan Kong
Towards an Effective Organization-Wide Bulk Email System. CoRR (2023)
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 (2023)
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 (2023)
Ruixuan Sun, Ruoyan Kong, Qiao Jin, Joseph A. Konstan
Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems. CoRR (2023)
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) (2022)
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) (2022)
Guy Aridor, Duarte Gonçalves, Daniel Kluver, Ruoyan Kong, Joseph A. Konstan
The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens. CoRR (2022)
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) (2022)
Ruoyan Kong, Zhanlong Qiu, Yang Liu, Qi Zhao
NimbleLearn: A Scalable and Fast Batch-mode Active Learning Approach. ICDM (Workshops) (2021)
Ruoyan Kong, Ruobing Wang, Zitao Shen
Virtual Reality System for Invasive Therapy. VR Workshops (2021)
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) (2021)
Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan
Learning to Ignore: A Case Study of Organization-Wide Bulk Email Effectiveness. CoRR (2020)
Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen
Group Preference Aggregation: A Nash Equilibrium Approach. ICDM (2016)