MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation

Ching-Wen Yang, Zhi-Quan Feng, Ying-Jia Lin, Che Wei Chen, Kun-da Wu, Hao Xu, Yao Jui-Feng, Hung-Yu Kao. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-long.1535
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
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article

MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation

Zhiquan Feng, Ying-Jia Lin, Hung-Yu Kao, Hao Xu et al.
Recommender Systems and Techniques
article

MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation

Zhiquan Feng, Ying-Jia Lin, Hung-Yu Kao, Hao Xu, Ching-Wen Yang, Che Wei Chen, Kun-da Wu, Yao Jui-Feng
article en

Abstract

Ching-Wen Yang, Zhi-Quan Feng, Ying-Jia Lin, Che Wei Chen, Kun-da Wu, Hao Xu, Yao Jui-Feng, Hung-Yu Kao. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Strong, National Science and Technology Council
Openalex Percentile: Top 71%
Recommender Systems and Techniques
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MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation — Zhiquan Feng, Ying-Jia Lin, et al. · (2025) | TGRS Research Map | TGRS