New Show Hacker News story: Show HN: Moodflix – a movie recommendation engine based on your mood

Show HN: Moodflix – a movie recommendation engine based on your mood
3 by sebmnt | 0 comments on Hacker News.
Last week I released Moodflix ( https://ift.tt/LJw9FIY ), a movie recommendation engine based to find movies based on your mood. Moodflix was created on top of a movie dataset of 10k movies from The Movie Database. I vectorised the films using Hugging Face's T5 model ( https://ift.tt/9g4xQ6n ) using the film's plot synopsis, genres and languages. Then I indexed the vectors using hnswlib ( https://ift.tt/XenFbqh ). LLMs can understand a movie's plot pretty well and distill the similarities between a user's query (mood) to the movie's plot and genres. I have got feedback from close friends around linking movies to other review sites like IMDB or Rotten Tomatoes, linking movies to sites to stream the movie and adding movie posters. I would also love to hear from the community what things you like, what you want to see and what things you consider can be improved.

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