Research and development of big data technologies in the field of human resources

Autor: Martín Martínez, Ignacio
Přispěvatelé: Hernández Gutiérrez, José Alberto, Universidad Carlos III de Madrid. Departamento de Ingeniería Telemática
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
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Popis: The aim of this work is to describe and report the achievements reached in the research and development of Big Data technologies and frameworks. The document describes the research process and the orientation towards the field of intelligent human resources management and recruiting, retrieving information from LinkedIn, Tecnoempleo and Infojobs and its posterior analysis inside a customized framework. The whole report covers the entire process of data selection and retrieval by means of emerging technologies such as Node.js or MongoDB, data processing using R programming language supported by Hadoop and algorithms such as TFIDF or Okapi BM25 and finally reaches conclusions and practical applications, which are considered either for future study or revision during the project. Most of the results are extracted from simple data analyses from the collections, which show very relevant data for Internet enterprises such as the activity from users and companies in LinkedIn or the most relevant aspects of job offers in Tecnoempleo. Additionally, a framework for this data analyses is built and documented to allow further research on the subject from a very clear starting point where all information can be gathered, processed and analysed within the same framework. Finally, to all research work a business application is added with a developed prototype which shows commercial possibilities for the data sets gathered. Such prototype is also developed by emerging technologies and is highly connected to the framework and all the Big Data ecosystem. Ingeniería Telemática
Databáze: OpenAIRE
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