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OER recommendation for entrepreneurship using a framework based on social network analysis

TitleOER recommendation for entrepreneurship using a framework based on social network analysis
Publication TypeJournal Article
Year of Publication2015
PublisherIEEE Revista Iberoamericana de Tecnologias del Aprendizaje
Volume10
Issue4
Pagination262
ISSN1932-8540
Keywordsbusiness, general topics for engineers, information filtering, knowledge discovery, media, OER, Open Educational Resources, recommender, SNA, social computing, tagging, Twitter, uniform resource locators, web 2.0
Abstract

In these days, much of the information published on the Web is published on social media, represented through social networks such as Facebook or Twitter, to name only the most prominent. Each of the media and social networks has its own scheme of operation and different working characteristics; for example, Twitter is a social network where millions of daily messages called tweets are exchanged. The message labels, called hashtags, can be used to identify the subject of the message. The message may also include links to other resources that expand the original content or show interesting information. Another kind of information present in Twitter is the relationship between users, the most common of which is a non-reciprocal relationship named “following.” The scope of this paper is to use the information that is published on Twitter to extract and recommend open educational resources, which will be used in the StartUp project. The StartUp project (intelligent training needs assessme

URLhttps://ieeexplore.ieee.org/document/7293125/
DOI10.1109/RITA.2015.2486387
Rights

Copyright 2013, IEEE

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