GitHub / Chandru-21 / End-to-End-Movie-Recommendation-System-with-deployment-using-docker-and-kubernetes

Content Based Recommendation system uses attributes of the content to recommend similar content. It doesn't have a cold-start problem because it works through attributes or tags of the content, such as actors, genres or directors, so that new movies can be recommended right away.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Chandru-21%2FEnd-to-End-Movie-Recommendation-System-with-deployment-using-docker-and-kubernetes

Topics: contentbasedfiltering, docker, endtoend, endtoendpipeline, kubernetes, machine-learning, movie-recommendation, movierecommendationsystem, nlp, python, recommendation-system, recommender-system, streamlit, streamlit-webapp

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• Readme
• Dependencies