no code implementations • 21 Jan 2024 • Ruixuan Sun, Xinyi Wu, Avinash Akella, Ruoyan Kong, Bart Knijnenburg, Joseph A. Konstan
In the past decade, deep learning (DL) models have gained prominence for their exceptional accuracy on benchmark datasets in recommender systems (RecSys).
no code implementations • 9 Aug 2023 • Ruoyan Kong, Haiyi Zhu, Joseph A. Konstan
The COVID-19 pandemic has forced many employees to work from home.
no code implementations • 20 Jun 2023 • Ruixuan Sun, Ruoyan Kong, Qiao Jin, Joseph A. Konstan
In this study, we partition users by rating disposition - looking first at their percentage of negative ratings, and then at the general use of the rating scale.
1 code implementation • 12 Jun 2023 • Ruoyan Kong, Ruixuan Sun, Charles Chuankai Zhang, Chen Chen, Sneha Patri, Gayathri Gajjela, Joseph A. Konstan
A single digital newsletter usually contains many messages (regions).
no code implementations • 21 Feb 2023 • Yunzhong He, Cong Zhang, Ruoyan Kong, Chaitanya Kulkarni, Qing Liu, Ashish Gandhe, Amit Nithianandan, Arul Prakash
Query categorization at customer-to-customer e-commerce platforms like Facebook Marketplace is challenging due to the vagueness of search intent, noise in real-world data, and imbalanced training data across languages.
no code implementations • 25 Nov 2022 • Guy Aridor, Duarte Goncalves, Daniel Kluver, Ruoyan Kong, Joseph Konstan
We conduct a field experiment on a movie-recommendation platform to identify if and how recommendations affect consumption.