Course recommendation model based on semantic search of job description

Abstract

This independent study emphasizes how integrating semantic search and curriculum analysis into course recommendation systems facilitates the alignment of academic education with user’s wants. Nowaday, big data has become increasingly prominent in today's world which big data still increasing until becomes the massive volume. Consequently, it's becoming more difficult to accurately deliver the data that meet with user preferences. Therefore, implementing recommendation systems to filter data before delivering it to users can assist in meeting their needs effectively, through advanced natural language processing and semantic analysis techniques. This independent study has objective to enhance the recommendation system based on semantic search over traditional search. Moreover, users are navigated by course recommendation based on semantic search with better decision making.