NLP-Powered Short Video Enrichment System
Harsh Mali, Amit Nara, Jaya Gupta, Smit Panchal · 2023
Recommendation systems have received a lot of attention lately due to their pivotal role in guiding users through the overwhelming volumes of information available online. This paper explores the integration of Natural Language Processing (NLP) techniques into recommendation systems to enhance their performance and user experience. The growth of the users has been increasing daily, to give them the satisfaction they want when scrolling through the feed. We have made a recommendation system using prominent technology. The system connects the user faster with their desired videos. To make a better system we have used React, Firebase, and Flask as the crucial elements of our work. We recommend the top 5 reels using some aspects. The aspects are hashtags, descriptions, and user id.