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A Machine Learning Approach to Personalized Movie Recommendations Using Content-based Filtering, Web Scraping and NLP Based Sentiment AnalysisBy Yachika S. Yadav, Vikas R. Yadav
Abstract: This research work presents an improved approach for movie recommendation using content-based filtering and cosine similarity. The proposed system considers the movies' content information and genre during item similarity calculations to recommend a top 10 list of similar movies based on user preferences. Data for the movies, including title, genre, runtime, rating, and cast, is obtained from the TMDB website using an API key, while reviews are web-scraped from the …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 19–29 Read article →