A Constraint-based Recommender System via RDF Knowledge Graphs

IF 2 3区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ngoc Luyen Le, Marie-Hélène Abel, Philippe Gouspillou
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引用次数: 0

Abstract

Knowledge graphs, represented in RDF, are able to model entities and their relations by means of ontologies. The use of knowledge graphs for information modeling has attracted interest in recent years. In recommender systems, items and users can be mapped and integrated into the knowledge graph, which can represent more links and relationships between users and items. Constraint-based recommender systems are based on the idea of explicitly exploiting deep recommendation knowledge through constraints to identify relevant recommendations. When combined with knowledge graphs, a constraint-based recommender system gains several benefits in terms of constraint sets. In this paper, we investigate and propose the construction of a constraint-based recommender system via RDF knowledge graphs applied to the vehicle purchase/sale domain. The results of our experiments show that the proposed approach is able to efficiently identify recommendations in accordance with user preferences.
基于RDF知识图的约束推荐系统
以RDF表示的知识图能够通过本体对实体及其关系进行建模。近年来,知识图在信息建模中的使用引起了人们的兴趣。在推荐系统中,可以将商品和用户映射并集成到知识图中,知识图可以表示用户和商品之间更多的链接和关系。基于约束的推荐系统是基于通过约束明确地利用深度推荐知识来识别相关推荐的思想。当与知识图相结合时,基于约束的推荐系统在约束集方面获得了一些好处。在本文中,我们研究并提出了一个基于约束的基于RDF知识图的推荐系统的构建,该系统应用于车辆购销领域。实验结果表明,本文提出的方法能够有效地根据用户偏好识别推荐。
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来源期刊
Computer Supported Cooperative Work-The Journal of Collaborative Computing
Computer Supported Cooperative Work-The Journal of Collaborative Computing COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.40
自引率
4.20%
发文量
31
审稿时长
>12 weeks
期刊介绍: Computer Supported Cooperative Work (CSCW): The Journal of Collaborative Computing and Work Practices is devoted to innovative research in computer-supported cooperative work (CSCW). It provides an interdisciplinary and international forum for the debate and exchange of ideas concerning theoretical, practical, technical, and social issues in CSCW. The CSCW Journal arose in response to the growing interest in the design, implementation and use of technical systems (including computing, information, and communications technologies) which support people working cooperatively, and its scope remains to encompass the multifarious aspects of research within CSCW and related areas. The CSCW Journal focuses on research oriented towards the development of collaborative computing technologies on the basis of studies of actual cooperative work practices (where ‘work’ is used in the wider sense). That is, it welcomes in particular submissions that (a) report on findings from ethnographic or similar kinds of in-depth fieldwork of work practices with a view to their technological implications, (b) report on empirical evaluations of the use of extant or novel technical solutions under real-world conditions, and/or (c) develop technical or conceptual frameworks for practice-oriented computing research based on previous fieldwork and evaluations.
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