Movie Recommendations Based on Emotions Using Web Scraping
K H Latha · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: A recommender system help the users to get personalized recommendations, helps users to take correct decisions in their online transactions, increase sales and redefine the users web browsing experience. The purpose of this project is to recommend a list of movies for a user based on a specific emotion to suit his/her needs and desires. This recommendation system can be achieved through web scraping. Web Scraping is an automatic method to obtain and extract content and large amounts of data from websites. This recommendation system can also provide insights to current movie trends and latest people’s favorites.