Triple Dual Learning for Opinion-based Explainable Recommendation

doi:10.1145/3631521

	Triple Dual Learning for Opinion-based Explainable Recommendation
	Zhang, Yuting 1,2; Sun, Ying 3; Zhuang, Fuzhen 4,5; Zhu, Yongchun 1,2; An, Zhulin 1; Xu, Yongjun 1
	2024-05-01
发表期刊	ACM TRANSACTIONS ON INFORMATION SYSTEMS
ISSN	1046-8188
卷号	42 期号:3 页码:27
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.
关键词	Explainable recommendation triple dual learning opinion-based explanation
DOI	10.1145/3631521
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems
WOS记录号	WOS:001226623300008
出版者	ASSOC COMPUTING MACHINERY
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/40043
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.