Ruoyan Kong

27 papers A* 2A 1B 2Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2025 B conf
Why They Come And Go: A Case Study of Productive Flyby Users and Their Rating Integrity Challenge in Movie Recommenders.
CHIIR
Ruixuan Sun, Ruoyan Kong, Ashlee Milton, Daniel Kluver, Ian Paterson, Joseph A. Konstan
2024 J jnl
COVID-19 as Reflected in University President Bulk Email.
CoRR
Ruoyan Kong, Charles Chuankai Zhang, Jin Kang, Haiyi Zhu, Joseph A. Konstan
2024 J jnl
Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment.
Int. J. Hum. Comput. Interact.
Ruixuan Sun, Avinash Akella, Ruoyan Kong, Moyan Zhou, Joseph A. Konstan
2024 J jnl
Supporting Organizations in Improving Employee Bulk E-mail - A Tool Design and Evaluation Study.
Proc. ACM Hum. Comput. Interact.
Ruoyan Kong, Ruixuan Sun, Charles Chuankai Zhang, Ye Yuan, Joseph A. Konstan
2024 A conf
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems.
RecSys
Guy Aridor, Duarte Gonçalves, Ruoyan Kong, Daniel Kluver, Joseph A. Konstan
2024 J jnl
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems.
CoRR
Guy Aridor, Duarte Gonçalves, Ruoyan Kong, Daniel Kluver, Joseph A. Konstan
2024 J jnl
What Are We Optimizing For? A Human-centric Evaluation Of Deep Learning-based Recommender Systems.
CoRR
Ruixuan Sun, Avinash Akella, Xinyi Wu, Ruoyan Kong, Joseph A. Konstan
2024 — conf
What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders.
IntRS@RecSys
Ruixuan Sun, Xinyi Wu, Avinash Akella, Ruoyan Kong, Bart P. Knijnenburg, Joseph A. Konstan
2023 B conf
Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models.
ETRA
Ruoyan Kong, Ruixuan Sun, Charles Chuankai Zhang, Chen Chen, Sneha Patri, Gayathri Gajjela, Joseph A. Konstan
2023 J jnl
Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models.
CoRR
Ruoyan Kong, Ruixuan Sun, Charles Chuankai Zhang, Chen Chen, Sneha Patri, Gayathri Gajjela, Joseph A. Konstan
2023 — conf
HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace.
WWW (Companion Volume)
Yunzhong He, Cong Zhang, Ruoyan Kong, Chaitanya Kulkarni, Qing Liu, Ashish Gandhe, Amit Nithianandan, Arul Prakash
2023 J jnl
HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace.
CoRR
Yunzhong He, Cong Zhang, Ruoyan Kong, Chaitanya Kulkarni, Qing Liu, Ashish Gandhe, Amit Nithianandan, Arul Prakash
2023 J jnl
Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment.
CoRR
Ruixuan Sun, Avinash Akella, Ruoyan Kong, Moyan Zhou, Joseph A. Konstan
2023 — conf
Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems.
UMAP (Adjunct Publication)
Ruixuan Sun, Ruoyan Kong, Qiao Jin, Joseph A. Konstan
2023 J jnl
Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems.
CoRR
Ruixuan Sun, Ruoyan Kong, Qiao Jin, Joseph A. Konstan
2023 J jnl
Multi-Objective Personalization in Multi-Stakeholder Organizational Bulk E-mail: A Field Experiment.
CoRR
Ruoyan Kong, Charles Chuankai Zhang, Ruixuan Sun, Vishnu Chhabra, Tanushsrisai Nadimpalli, Joseph A. Konstan
2023 J jnl
Organizational Bulk Email Systems: Their Role and Performance in Remote Work.
CoRR
Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan
2023 A* conf
The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens.
EC
Guy Aridor, Duarte Gonçalves, Daniel Kluver, Ruoyan Kong, Joseph A. Konstan
2023 J jnl
Towards an Effective Organization-Wide Bulk Email System.
CoRR
Ruoyan Kong
2022 J jnl
Multi-Objective Personalization in Multi-Stakeholder Organizational Bulk E-mail: A Field Experiment.
Proc. ACM Hum. Comput. Interact.
Ruoyan Kong, Charles Chuankai Zhang, Ruixuan Sun, Vishnu Chhabra, Tanushsrisai Nadimpalli, Joseph A. Konstan
2022 J jnl
The Economics of Recommender Systems: Evidence from a Field Experiment on MovieLens.
CoRR
Guy Aridor, Duarte Gonçalves, Daniel Kluver, Ruoyan Kong, Joseph A. Konstan
2022 J jnl
Working for the Invisible Machines or Pumping Information into an Empty Void? An Exploration of Wikidata Contributors' Motivations.
Proc. ACM Hum. Comput. Interact.
Charles Chuankai Zhang, Mo Houtti, C. Estelle Smith, Ruoyan Kong, Loren Terveen
2021 J jnl
Learning to Ignore: A Case Study of Organization-Wide Bulk Email Effectiveness.
Proc. ACM Hum. Comput. Interact.
Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan
2021 — conf
NimbleLearn: A Scalable and Fast Batch-mode Active Learning Approach.
ICDM (Workshops)
Ruoyan Kong, Zhanlong Qiu, Yang Liu, Qi Zhao
2021 — conf
Virtual Reality System for Invasive Therapy.
VR Workshops
Ruoyan Kong, Ruobing Wang, Zitao Shen
2020 J jnl
Learning to Ignore: A Case Study of Organization-Wide Bulk Email Effectiveness.
CoRR
Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan
2016 A* conf
Group Preference Aggregation: A Nash Equilibrium Approach.
ICDM
Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen