Erratum: Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Junjie Zhang; Ruobing Xie; Yupeng Hou; Wayne Xin Zhao; Leyu Lin; Ji-Rong Wen

doi:10.1145/3795143

March 16, 2026ACM Transactions on Information SystemsOpen Access

Erratum: Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

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Key Points

The erratum aims to correct previously published findings related to recommendation systems and instruction following using large language models.
Correction of errors in the initial article
Review of large language model impacts
Updates on recommendation strategies based on AI
Clarifications improve the understanding of the recommendation approach
Errors in previous article have potentially affected the interpretation of results
Corrected findings enhance the reliability of AI in generating recommendations

Implication

Erratum highlights changes in recommendations based on a large language model, suggesting improved accuracy and relevance.

Abstract

This is an erratum for the article “Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach” published in ACM Trans. Inf. Syst. 43, 5, Article 114 (July 2025), 37 pages.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69ba43984e9516ffd37a4ff8 https://doi.org/10.1145/3795143

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Erratum: Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Key Points

Implication

Abstract

Discussion

Cite This Study

Erratum: Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Key Points

Implication

Abstract

Discussion

Cite This Study

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