Graph embeddings for movie visualization and recommendation

Abstract

In this work we showcase how graph-embeddings can be used as a movie visualization and recommendation interface. The proposed low-dimensional embedding carefully preserves both local and global graph connectivity structure. The approach additionally offers: a) recommendations based on a pivot movie, b) interactive deep graph exploration of the movie connectivity graph, c) automatic movie trailer retrieval.