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Triple Dual Learning for Opinion-based Explainable Recommendation

文献类型：期刊论文

作者Zhang, Yuting1,2; Sun, Ying3; Zhuang, Fuzhen4,5; Zhu, Yongchun1,2; An, Zhulin1; Xu, Yongjun1
刊名ACM TRANSACTIONS ON INFORMATION SYSTEMS
出版日期2024-05-01
卷号42期号:3页码:27
关键词Explainable recommendation triple dual learning opinion-based explanation
ISSN号1046-8188
DOI10.1145/3631521
英文摘要Recently, with the aim of enhancing the trustworthiness of recommender systems, explainable recommendation has attracted much attention from the research community. Intuitively, users' opinions toward different aspects of an item determine their ratings (i.e., users' preferences) for the item. Therefore, rating prediction from the perspective of opinions can realize personalized explanations at the level of item aspects and user preferences. However, there are several challenges in developing an opinion-based explainable recommendation: (1) The complicated relationship between users' opinions and ratings. (2) The difficulty of predicting the potential (i.e., unseen) user-item opinions because of the sparsity of opinion information. To tackle these challenges, we propose an overall preference-aware opinion-based explainable rating prediction model by jointly modeling the multiple observations of user-item interaction (i.e., review, opinion, rating). To alleviate the sparsity problem and raise the effectiveness of opinion prediction, we further propose a triple dual learning-based framework with a novelly designed triple dual constraint. Finally, experiments on three popular datasets show the effectiveness and great explanation performance of our framework.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001226623300008
出版者ASSOC COMPUTING MACHINERY
源URL[http://119.78.100.204/handle/2XEOYT63/40042]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhuang, Fuzhen; An, Zhulin
作者单位1.Chinese Acad Sci, Inst Comp Technol, 6 Acad Sci South Rd, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
3.Hong Kong Univ Sci & Technol Guangzhou, Thrust Artificial Intelligence, 1 Duxue Rd, Guangzhou 511453, Peoples R China
4.Beihang Univ, Inst Artificial Intel Iigence, 37 Xueyuan Rd, Beijing 100191, Peoples R China
5.Zhongguancun Lab, Cuihu North Ring Rd, Beijing 100194, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Yuting,Sun, Ying,Zhuang, Fuzhen,et al. Triple Dual Learning for Opinion-based Explainable Recommendation[J]. ACM TRANSACTIONS ON INFORMATION SYSTEMS,2024,42(3):27.
APA Zhang, Yuting,Sun, Ying,Zhuang, Fuzhen,Zhu, Yongchun,An, Zhulin,&Xu, Yongjun.(2024).Triple Dual Learning for Opinion-based Explainable Recommendation.ACM TRANSACTIONS ON INFORMATION SYSTEMS,42(3),27.
MLA Zhang, Yuting,et al."Triple Dual Learning for Opinion-based Explainable Recommendation".ACM TRANSACTIONS ON INFORMATION SYSTEMS 42.3(2024):27.

入库方式： OAI收割

来源：计算技术研究所

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