ITCareerBot: A Personalized Career Counselling Chatbot

Abstract

Nowadays, career counselling, which is a service designed to help people finding the right professional learning is emerging. In the information technology (IT) domain, this service is facing the challenge of changing very quickly in business environments, technologies and tools. Consequently, IT students and professionals often need additional knowledge and skills to fulfill market requirements and to target their professional goal in order to increase their opportunity for growth. This study aims at leveraging a specific type of chatbots to offer an intelligent and personalized advising learning services to job seekers as learners by providing information and recommendations of a learning path according to the market trends and learners’ profile. Firstly, a chatbot framework is developed based on a context-aware knowledge model and a recommendation method. Thus, the context-aware knowledge base and its instance were built by analyzing different data sources collected from professional social networks and online education platforms. Furthermore, the recommendation method defines how the chatbot responds to user messages based on the matching between the current job seekers’ skills and their career interest. Concerning research evaluation, the effectiveness of the proposed framework is validated by measuring the algorithms. Moreover, some efficient and satisfaction criteria were analyzed and evaluated based on the feedback from a survey.