Scientific paper recommendation systems: a literature review of recent publications.

IF 1.6 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Christin Katharina Kreutz, Ralf Schenkel
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引用次数: 12

Abstract

Scientific writing builds upon already published papers. Manual identification of publications to read, cite or consider as related papers relies on a researcher's ability to identify fitting keywords or initial papers from which a literature search can be started. The rapidly increasing amount of papers has called for automatic measures to find the desired relevant publications, so-called paper recommendation systems. As the number of publications increases so does the amount of paper recommendation systems. Former literature reviews focused on discussing the general landscape of approaches throughout the years and highlight the main directions. We refrain from this perspective, instead we only consider a comparatively small time frame but analyse it fully. In this literature review we discuss used methods, datasets, evaluations and open challenges encountered in all works first released between January 2019 and October 2021. The goal of this survey is to provide a comprehensive and complete overview of current paper recommendation systems.

Abstract Image

科学论文推荐系统:最近发表的文献综述。
科学写作以已经发表的论文为基础。人工识别出版物阅读,引用或考虑作为相关论文依赖于研究人员的能力,以确定合适的关键字或最初的论文,从文献检索可以开始。论文数量的迅速增加要求采用自动措施来寻找所需的相关出版物,即所谓的论文推荐系统。随着出版物数量的增加,论文推荐系统的数量也在增加。以前的文献综述侧重于讨论多年来方法的总体概况,并突出了主要方向。我们避免这种观点,相反,我们只考虑一个相对较小的时间框架,但全面分析它。在这篇文献综述中,我们讨论了在2019年1月至2021年10月期间首次发布的所有作品中使用的方法、数据集、评估和遇到的公开挑战。本调查的目的是提供当前论文推荐系统的全面和完整的概述。
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来源期刊
CiteScore
4.30
自引率
6.70%
发文量
20
期刊介绍: The International Journal on Digital Libraries (IJDL) examines the theory and practice of acquisition definition organization management preservation and dissemination of digital information via global networking. It covers all aspects of digital libraries (DLs) from large-scale heterogeneous data and information management & access to linking and connectivity to security privacy and policies to its application use and evaluation.The scope of IJDL includes but is not limited to: The FAIR principle and the digital libraries infrastructure Findable: Information access and retrieval; semantic search; data and information exploration; information navigation; smart indexing and searching; resource discovery Accessible: visualization and digital collections; user interfaces; interfaces for handicapped users; HCI and UX in DLs; Security and privacy in DLs; multimodal access Interoperable: metadata (definition management curation integration); syntactic and semantic interoperability; linked data Reusable: reproducibility; Open Science; sustainability profitability repeatability of research results; confidentiality and privacy issues in DLs Digital Library Architectures including heterogeneous and dynamic data management; data and repositories Acquisition of digital information: authoring environments for digital objects; digitization of traditional content Digital Archiving and Preservation Digital Preservation and curation Digital archiving Web Archiving Archiving and preservation Strategies AI for Digital Libraries Machine Learning for DLs Data Mining in DLs NLP for DLs Applications of Digital Libraries Digital Humanities Open Data and their reuse Scholarly DLs (incl. bibliometrics altmetrics) Epigraphy and Paleography Digital Museums Future trends in Digital Libraries Definition of DLs in a ubiquitous digital library world Datafication of digital collections Interaction and user experience (UX) in DLs Information visualization Collection understanding Privacy and security Multimodal user interfaces Accessibility (or "Access for users with disabilities") UX studies
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