arXiv：cs.AI· Emrul Hasan, Chen Ding·· 5 小时前AI 评分27
CLARER：面向可解释推荐的方面表示对比学习模型
Contrastive Learning for Aspect Representation towards Explainable Recommendation
AI 导读
研究者提出推荐模型 CLARER，通过对比学习与 transformer 编码器学习评论文本中的方面表示，并与评分特征融合来提升推荐的准确性与可解释性。该模型用 MLP 学习评分特征、transformer 解码器生成解释，在三个基准数据集上推荐准确率和解释生成均优于基线方法。该论文获 WI-IAT 2025 最佳学生论文奖。
正文
Abstract:In this work, we propose a novel recommendation model, CLARER (Contrastive Learning for Aspect Representation towards Explainable Recommendation) that integrates aspect features learned from textual reviews with rating information to improve the accuracy and explainability of recommendations. Our proposed framework learns user and item representations by combining rating-based features and aspect-based features from reviews. Specifically, rating-based features are learned through a multi-layer perceptron (MLP) model, while aspect-specific review representations are learned using a transformer encoder to capture the semantic information and contrastive learning to better distinguish user preferences. To provide explanations, we train a transformer decoder, using the final representations of users and items from both rating and aspect-based features as context. Experimental results in three benchmark data sets demonstrate that our model achieves superior performance compared to baseline methods in both recommendation (accuracy) and explanation generation.
| Comments: | 8 pages. Published in WI-IAT 2025. Best Student Paper Award |
| Subjects: | Information Retrieval (cs.IR); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.07761 [cs.IR] |
| (or arXiv:2610.07761v1 [cs.IR] for this version) | |
| https://doi.org/10.48550/arXiv.2610.07761 arXiv-issued DOI via DataCite (pending registration) |
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| Journal reference: | E. Hasan and C. Ding, "Contrastive Learning for Aspect Representation Towards Explainable Recommendation," 2025 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pp. 483-490, 2025 |
| Related DOI: | https://doi.org/10.1109/WI-IAT67162.2025.00070
DOI(s) linking to related resources |
Submission history
From: Emrul Hasan [view email]
[v1]
Tue, 6 Oct 2026 04:55:55 UTC (214 KB)
来源：arXiv：cs.AI · arxiv.org