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  • Μικρογραφία εικόνας
    Τεκμήριο
    Job recommendation system using deep learning
    (2019-01-18) Farmaki, Athanasia; Athens University of Economics and Business, Department of Informatics; Markakis, Evangelos; Androutsopoulos, Ion
    This is the report of a capstone project carried out for the MSc in Data Science at Athens University of Economics and Business. The objective of this project was to design a recommendation engine which, given information about a candidate’s interests, would be able to recommend relevant jobs. The task can be divided into two parts, an Information Retrieval (IR) part and a Machine Learning part. For the information retrieval part, Elastic Search engine was used in order to retrieve top 100 relevant jobs for a candidate. Then a deep neural network model called Deep Relevance Matching Model (DRMM) proposed by Guo et al was applied to rerank the results and retrieve the top 10 jobs for the candidate. The data used are given by the software recruitment company Workable and the evaluation of the results is done both automatically using typical IR measures and manually by examining the results one by one.