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This is a movie recommendation system based on bipartite graphs that uses the IMDB and TMDB dataset to recommend movies to users based on movie similarity and user preferences using graph representation learning.
the algorithm works by first finding a maximum matching in the bipartite graph, which is a set of edges that pairs as many nodes as possible without sharing any common nodes. Then, the maximum matching is converted into a vertex cover, which is a set of nodes that covers all the edges in the graph