Using Kibana and ElasticSearch for the Recommendation of Job Offers to Students

This paper proposes the use of Kibana and ElasticSearch for the efficient recommendation of job offers to students, in order to allow them to improve their professional career. Both Kibana and ElasticSearch tools are integrated in a self-developed web-system at UNED. By using Kibana, users can get a graphical representation of the job situation for a time period, which could indicate them what is the knowledge most wanted by companies. Also the system can let users search for information using keywords within the job offers stored in the system. This is intended to provide users with a picture of the job market, which allows them to focus their training on the most demanded professional profiles by employers, or to find hiring trends. For storing all the collected information, ElasticSearch has been deployed in order to perform agile queries from not-structured information, like job descriptions.