Towards Explainable Recommendation Via Bert-Guided Explanation Generator

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Towards Explainable Recommendation Via Bert-Guided Explanation Generator
Title:
Towards Explainable Recommendation Via Bert-Guided Explanation Generator
Journal Title:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Keywords:
Publication Date:
05 May 2023
Citation:
Zhan, H., Li, L., Li, S., Liu, W., Gupta, M., & Kot, A. C. (2023). Towards Explainable Recommendation Via Bert-Guided Explanation Generator. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp49357.2023.10096389
Abstract:
Explainable recommender system has recently drawn increasing attention due to its capability of providing justification to recommendation. Rather than focusing on certain topics or specific item features, the explanation generated by existing works are too general without the guidance of aspects. However, such information is not given in the practical scenario. To address this issue, we propose a novel Explainable recommender system with BERT-guided explanation generator, named ExBERT to generate reliable explanation with finer granularity. More specifically, a multi-head self-attention based encoder is employed to incorporate pseudo user and item profiles into semantic representation. Moreover, we propose a novel matched explanation prediction task with discriminative ability to enable personalization of the generated sentence. Extensive experiments conducted on two real-world explainable recommendation datasets significantly outperform the state-of-the-art in generation.
License type:
Publisher Copyright
Funding Info:
This research is supported by core funding from: AI3
Grant Reference no. : C211118010
Description:
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISBN:
978-1-7281-6327-7
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