Corrigendum: One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems

This is a corrigendum for the article “One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems” published in ACM Trans. Inf. Syst . 43, 5, Article 118 (July 2025), 27 pages.

Authors

Institutions

Publication Details

Journal
ACM Transactions on Information Systems
Published
2026-04-17
DOI
https://doi.org/10.1145/3802983
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Corrigendum: One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems

Zhaoxin Huan, Zihao Li, Chilin Fu, Zuoli Tang et al.
ACM Transactions on Information Systems
Artificial Intelligence in Healthcare and Education
article

Corrigendum: One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems

Zhaoxin Huan, Zihao Li, Chilin Fu, Zuoli Tang, Jun Zhou, Lixin Zou, Xiaolu Zhang, Jun Hu, Chenliang Li
article en

Abstract

This is a corrigendum for the article “One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems” published in ACM Trans. Inf. Syst . 43, 5, Article 118 (July 2025), 27 pages.

ACM Transactions on Information SystemsVol. 44(4)
Wuhan University (CN), Zhejiang Energy Group (China) (CN)
Openalex Percentile: Top 16%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.