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Semantic similarity measurement aims to determine the likeness between two text expressions that use different lexicographies for representing the same real object or idea. In this work, we describe the way to exploit broad cultural trends for identifying semantic similarity. This is possible through the quantitative analysis of a vast digital book collection representing the digested history of humanity...
The challenge of automatically recommending job offers to appropriate job seekers is a topic that has attracted many research effort during the last times. However, it is generally assumed that there is a need of more user-friendly filtering methods so that the automated recommendation systems might be more widely used. We present here two methods from the data analytics field being able to disseminate...
Finding the best matching job offers for a candidate profile or, the best candidates profiles for a particular job offer, respectively constitutes the most common and most relevant type of queries in the Human Resources (HR) sector. This technically requires to investigate top-k queries on top of knowledge bases and relational databases. We propose in this paper a top-k query algorithm on relational...
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