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

机译：研究和开发人力资源领域的大数据技术

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摘要

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.
机译：这项工作的目的是描述和报告在大数据技术和框架的研究和开发中取得的成就。该文件描述了智能人力资源管理和招聘领域的研究过程和方向，从LinkedIn，Tecnoempleo和Infojobs检索信息以及在自定义框架内进行事后分析的过程。整个报告涵盖了数据选择和检索的整个过程。诸如Node.js或MongoDB之类的新兴技术，使用Hadoop支持的R编程语言进行数据处理以及诸如TFIDF或Okapi BM25之类的算法，并最终得出结论和实际应用，可以在项目进行研究或修订时考虑它们。大多数结果是从集合中的简单数据分析中提取的，这些数据分析显示了与Internet企业非常相关的数据，例如LinkedIn中用户和公司的活动或Tecnoempleo中工作机会的最相关方面。此外，建立并记录了此数据分析的框架，以允许从一个非常清晰的起点开始对该主题进行进一步的研究，在此基础上可以在同一框架内收集，处理和分析所有信息。最后，对于所有研究工作来说，业务应用程序添加了开发的原型，该原型显示了所收集数据集的商业可能性。这样的原型也由新兴技术开发，并与框架和所有大数据生态系统高度关联。

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  • 作者

    Martín Martínez Ignacio;

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  • 年度 2014
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  • 原文格式 PDF
  • 正文语种 eng
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