A changing job market, influenced by different factors such as globalization and
demographic growth, urges close monitoring. The digitization of the job market has given the …

The rapid growth of Web usage for advertising job positions provides a great opportunity for
real-time labour market monitoring. This is the aim of Labour Market Intelligence (LMI), a …

Skill Extraction (SE) is an important and widely-studied task useful to gain insights into labor
market dynamics. However, there is a lacuna of datasets and annotation guidelines; …

This paper presents a job recommender system to match resumes to job descriptions (JD),
both of which are non-standard and unstructured/semi-structured in form. First, the paper …

Abstract Named Entity Recognition (NER) and Named Entity Normalization (NEN) refer to
the recognition and normalization of raw texts to known entities. From the perspective of …

During the past decades the importance of soft skills for labour market outcomes has grown
substantially. This carries implications for labour market inequality, since previous research …

Skills extraction is a critical task when creating job recommender systems. It is also useful for
building skills profiles and skills knowledge bases for organizations. The aim of skills …

We consider degree-biased random walkers whose probability to move from a node to one
of its neighbors of degree k is proportional to k α, where α is a tuning parameter. We study …

This paper introduces two new closely related betweenness centrality measures based on
the Randomized Shortest Paths (RSP) framework, which fill a gap between traditional …

Now a day's recommendation system take care of the issue of the massive amount of
information overload problem and it provides the services to the candidates to concentrate …