The IMDb and Box Office Mojo Movies/TV/OTT licensable data package provides a wide range of entertainment metadata, including over 1 billion user ratings; credits for more than 11 million cast and crew members; 9 million movie, TV, and entertainment titles; and global box office reporting data from more than 60 countries. Many AWS media and entertainment customers license IMDb data through AWS Data Exchange to improve content discovery and increase customer engagement and retention.
In this three-part series, we demonstrate how to transform and prepare IMDb data to power out-of-catalog search for your media and entertainment use cases. In this post, we discuss how to prepare IMDb data and load the data into Amazon Neptune for querying. In Part 2, we discuss how to use Amazon Neptune ML to train graph neural network (GNN) embeddings from the IMDb graph. In Part 3, we walk through a demo application out-of-catalog search

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