Scalable Service for Predictive Learning based on the Professional Social Networking Sites
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 5
Abstract
Professional social networking sites are widely used as a tool for obtaining specific information such as technology trends and professional skills demand. The article is aimed to consider the evolution of services for professional communities through integration of analysis of the patent activity, analysis of the academic research activity and analysis of the labour market trends. Authors have developed the prototype of a predictive learning software service which intended to fill the gap between professional social networking sites and e-learning systems, including massive open online course systems. It includes functionality for monitoring of professional skills demand on the labour market and analysis of patents for each corresponding technology. The software service will help to determine demand for professional skills, to actualise an applicant’s skillset, to organise professional communities and to build individual learning programs for studying of skills and technologies which are predicted to grow in demand on the labour market.
Authors and Affiliations
Evgeny Nikulchev, Dmitry Ilin, Gregory Bubnov, Egor Mateshuk
Keywords
Related Articles
- EP ID EP258591
- DOI 10.14569/IJACSA.2017.080502
- Views 121
- Downloads 0
Design and Development of an Industrial Solver for Integrated Planning of Production and Logistics
Faced with an increasingly hard competition, an increasingly unstable economic environment and ever-increasing customer requirements, companies should optimize costs and lead times not only at their level but also at the...
Conceptual Modeling in Simulation: A Representation that Assimilates Events
Simulation is often based on some type of model of the evolved portion of the world being studied. The underlying model is a static description; the simulation itself is executed by generating events or dynamic aspects i...
Link Prediction Schemes Contra Weisfeiler-Leman Models
Link prediction is of particular interest to the data mining and machine learning communities. Until recently all approaches to the problem used embedding-based methods which leverage either node similarities or latent g...
Intelligent Mobility Management Model for Heterogeneous Wireless Networks
Growing consumer demands for access of communication services in a ubiquitous environment is a driving force behind the development of new technologies. The rapid development in communication technology permits the end u...
Segmentation and Recognition of Handwritten Kannada Text Using Relevance Feedback and Histogram of Oriented Gradients – A Novel Approach
India is a multilingual country with 22 official languages and more than 1600 languages in existence. Kannada is one of the official languages and widely used in the state of Karnataka whose population is over 65 million...