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Job ad data has become an essential part of the recruiting world, helping recruiters to construct views of the labor market to determine emerging skills, closest competitors, and where to get the most value for each recruiting dollar spent. Collecting this data, however, can be problematic, as job ads are posted redundantly at numerous online locations. In this paper, we detail a domain-specific near-duplicate...
This paper aims to provide a comprehensive survey of tag-based information retrieval that covers three areas: tag-based document retrieval, tag-based image retrieval, and tag-based music information retrieval. First of all, seven representative graphical models associated with tag contents are reviewed and evaluated in terms of effectiveness in achieving their goals. The models are explored in depth...
Eliminating or reducing skill gaps in the job market is critical to putting people back to work, reducing the unemployment rate, and increasing the labor market participation rate. A key element in closing the skills gap is accurately identifying the mismatch between the skills expected by employers and those possessed by job seekers. In this study, our goal was to profile job titles by effectively...
With the boom in population, the number of people in the unorganized sector has increased exponentially. The proposed system aims to overcome the problems faced by this strata of society mainly emigration, low salary, seasonal jobs, etc. It works as an extension of the Aadhar Card so that data integrity and reliability is maintained. A basic form is also filled by the user so that the skill set, availability,...
Graphs are increasingly being used as the data structure of choice to represent interactions between heterogeneous entities. Graph path querying is a primary operation in the network graph space, for both real time querying and inferential analysis. The rate and volume of interconnected data being generated warrants efficient distributed solutions to manage and query network graphs in a scalable fashion...
The wide popularity of graphs in areas such as Semantic Web and Social Network has necessitated the need to develop efficient methods to store and process graph data. However, the unique structure of graphs render traditional data handling methods and storage structures inefficient when dealing with large volumes of data. Existing graph storage structures either compromise scalability by adopting...
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