Question Recommendation System

Authors

  • Jayant Kumar Mittal, Kartikay Kashyap, Mahesh

Keywords:

Natural Language Processing, Semantic Text Similarity, Sentence-Similarity, Recommendation System, Education

Abstract

In the Modern World automation has become more of a requirement than a desire. And with the massive usage of Online Education Platforms, the idea of automation can be an efficient tool. However, preparing questionnaires and quizzes related to a course is still a hassle. This paper is revolving around creating a recommendation system for suggesting questions related to a video. In order to test our system, we take a data set of multiple videos and process them to get their transcript (textual data) and then use a transformer to check for sentence similarity to recommend relevant questions according to the video source based on their similarity scores.

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Published

2022-05-18