SriramPingali/Multi-Modal-Recommendation-System
Official code for the paper "Towards developing a Multi Modal Video Recommendation system"
If you manage an Over-The-Top (OTT) streaming platform, this project helps you build a movie recommendation system that keeps users engaged longer. It takes multimodal information like video trailers, movie summaries, and metadata, along with traditional movie ratings, and outputs personalized video recommendations. Content strategists and platform managers who want to improve user retention on streaming services would find this useful.
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Use this if you need to create a video recommendation system that effectively addresses issues like new content (cold start) and limited user ratings by leveraging diverse data sources.
Not ideal if you are looking for a recommendation system for non-video content or if you don't have access to multimodal data beyond basic ratings.
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Mar 08, 2023
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