Abstract: The world is connected through the power of social media platform. People want to know what other people are doing and according to that, they adapt themselves to challenge the new world. People want to acquire new skills according to their job carrier path. Skill seeking has been a tricky, tedious and time consuming task, because people looking for a new opportunity had to collect information from many different sources, this type of system is required. In this report skill, recommendation systems according to carrier path has proposed in order to automate and simplify this task, also increasing its effectiveness. However, current approaches rely on scarce manually collected data that often do not completely reveal people skills. Our work aims to find out relationships between jobs and people skills.
Keywords: Deep Neural Network, Collaborative Filtering, linear regression, Mean Normalization, Gradient Decent, Regularization
| DOI: 10.17148/IJARCCE.2018.71207