most citedPBNR: Prompt-based News Recommender System

3 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR2023

A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News

Xinyi Li, Yongfeng Zhang, Edward C. Malthouse

Online news platforms commonly employ personalized news recommendation methods to assist users in discovering interesting articles, and many previous works have utilized language m…

q-bio.TO2023

Deep learning radiomics for assessment of gastroesophageal varices in people with compensated advanced chronic liver disease

Lan Wang, Ruiling He, Lili Zhao +44

Objective: Bleeding from gastroesophageal varices (GEV) is a medical emergency associated with high mortality. We aim to construct an artificial intelligence-based model of two-dim…

stat.ME20231 cited

Functional Individualized Treatment Regimes with Imaging Features

Xinyi Li, Michael R. Kosorok

Precision medicine seeks to discover an optimal personalized treatment plan and thereby provide informed and principled decision support, based on the characteristics of individual…

cs.IR20233 cited

PBNR: Prompt-based News Recommender System

Xinyi Li, Yongfeng Zhang, Edward C. Malthouse

Online news platforms often use personalized news recommendation methods to help users discover articles that align with their interests. These methods typically predict a matching…

math.ST2022

Discussion of Multiscale Fisher's Independence Test for Multivariate Dependence

Duyeol Lee, Helal El-Zaatari, Michael R. Kosorok +2

The multiscale Fisher's independence test (MULTIFIT hereafter) proposed by Gorsky & Ma (2022) is a novel method to test independence between two random vectors. By its design, this…