Riza Arifudin, Subhan, Yahya Nur Ifriza
In this digital era, young people tend to look for information through the internet. One part that is carried out is related to recommendations, one of which is a career. In this study, text data is used to make a recommendation engine. This recommendation engine uses the Cosine Similarity method and the Word Embedding Technique. In this study, researchers used data from careervillage.org. This data consists of questions and answers from professionals. Through this recommendation, we can automate the question and answer through machine-based recommendations. © 2023 Author(s).
Department of Computer Science, Universitas Negeri Semarang, Semarang, Indonesia
