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Developing a movie recommender system based on content analysis. #ContentBasedRecommendation

Building a content-based movie recommender system | by Venkatakrishnan KV | Feb, 2024

This project aims to develop a movie recommendation system using the TF-IDF vectorization technique to analyze movie descriptions. The dataset contains approximately 5000 movies, each with a comprehensive set of attributes such as ratings, plot summaries, and keywords. The primary focus is on the “keywords” and “overview” columns in the dataset, which serve as the key sources of data for text vectorization. The code iterates through a DataFrame of movies, extracts and concatenates their genres and keywords, and stores the resulting strings in a list. The data is then converted into the vector form using the Tf-idf Vectorizer. The cosine similarity is used to rank movies based on their similarity with a specific movie, with the most similar movies appearing at the top of the list. When two movies have very similar TF-IDF vectors, it indicates a high degree of similarity in terms of their textual content. The resulting TF-IDF scores create a vector representation of the document, where higher scores indicate the importance of specific terms within the document relative to the entire dataset. The data is stored as a sparse matrix. The system calculates a numerical score for each term in a document based on its frequency within that document (TF) and its rarity across a collection of documents (IDF). This score creates a vector representation of the document, where higher scores indicate the importance of specific terms within the document relative to the entire dataset. The resulting TF-IDF scores create a vector representation of the document, where higher scores indicate the importance of specific terms within the document relative to the entire dataset.

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Source link: https://medium.com/@kvsreyas12/building-a-content-based-movie-recommender-system-a9cb5d97b097?source=rss——artificial_intelligence-5

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Day 13 of My Daily Writing Prompt with ChatGPT #WritingCommunity

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