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Information Processing in Research Paper Recommender System Classes
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Author(s): Benard M. Maake (Tshwane University of Technology, South Africa), Sunday O. Ojo (Tshwane University of Technology, South Africa)and Tranos Zuva (Vaal University of Technology, South Africa)
Copyright: 2019
Pages: 29
Source title:
Research Data Access and Management in Modern Libraries
Source Author(s)/Editor(s): Raj Kumar Bhardwaj (University of Delhi, India)and Paul Banks (The Royal Society of Medicine, UK)
DOI: 10.4018/978-1-5225-8437-7.ch005
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Abstract
Research-related publications and articles have flooded the internet, and researchers are in the quest of getting better tools and technologies to improve the recommendation of relevant research papers. Ever since the introduction of research paper recommender systems, more than 400 research paper recommendation related articles have been so far published. These articles describe the numerous tools, methodologies, and technologies used in recommending research papers, further highlighting issues that need the attention of the research community. Few operational research paper recommender systems have been developed though. The main objective of this review paper is to summaries the state-of-the-art research paper recommender systems classification categories. Findings and concepts on data access and manipulations in the field of research paper recommendation will be highlighted, summarized, and disseminated. This chapter will be centered on reviewing articles in the field of research paper recommender systems published from the early 1990s until 2017.
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