An Educational News Dataset for Recommender Systems

Datasets are an integral part of contemporary research on recommender systems. However, few datasets are available for conventional recommender systems and even very limited datasets are available when it comes to contextualized (time and location-dependent) News Recommender Systems. In this paper,...

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Autores principales: Xing, Yujie, Mohallick, Itishree, Gulla, Jon Atle, Özgöbek, Özlem, Zhang, Lemei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850080/
http://dx.doi.org/10.1007/978-3-030-65965-3_39
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author Xing, Yujie
Mohallick, Itishree
Gulla, Jon Atle
Özgöbek, Özlem
Zhang, Lemei
author_facet Xing, Yujie
Mohallick, Itishree
Gulla, Jon Atle
Özgöbek, Özlem
Zhang, Lemei
author_sort Xing, Yujie
collection PubMed
description Datasets are an integral part of contemporary research on recommender systems. However, few datasets are available for conventional recommender systems and even very limited datasets are available when it comes to contextualized (time and location-dependent) News Recommender Systems. In this paper, we introduce an educational news dataset for recommender systems. This dataset is the refined version of the earlier published Adressa dataset and intends to support the university students in the educational purpose. We discuss the structure and purpose of the refined dataset in this paper.
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spelling pubmed-78500802021-02-02 An Educational News Dataset for Recommender Systems Xing, Yujie Mohallick, Itishree Gulla, Jon Atle Özgöbek, Özlem Zhang, Lemei ECML PKDD 2020 Workshops Article Datasets are an integral part of contemporary research on recommender systems. However, few datasets are available for conventional recommender systems and even very limited datasets are available when it comes to contextualized (time and location-dependent) News Recommender Systems. In this paper, we introduce an educational news dataset for recommender systems. This dataset is the refined version of the earlier published Adressa dataset and intends to support the university students in the educational purpose. We discuss the structure and purpose of the refined dataset in this paper. 2020-12-09 /pmc/articles/PMC7850080/ http://dx.doi.org/10.1007/978-3-030-65965-3_39 Text en © The Author(s) 2020 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
spellingShingle Article
Xing, Yujie
Mohallick, Itishree
Gulla, Jon Atle
Özgöbek, Özlem
Zhang, Lemei
An Educational News Dataset for Recommender Systems
title An Educational News Dataset for Recommender Systems
title_full An Educational News Dataset for Recommender Systems
title_fullStr An Educational News Dataset for Recommender Systems
title_full_unstemmed An Educational News Dataset for Recommender Systems
title_short An Educational News Dataset for Recommender Systems
title_sort educational news dataset for recommender systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850080/
http://dx.doi.org/10.1007/978-3-030-65965-3_39
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