A Graph-Based Movie Recommender Engine | Marko A. Rodriguez
A recommender engine helps a user find novel and interesting items within a pool of resources. There are numerous types of recommendation algorithms and a graph can serve as a general-purpose substrate for evaluating such algorithms. This post will demonstrate how to build a graph-based movie recommender engine using the publicly available MovieLens dataset, the graph database Neo4j, and the graph
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Each year, the Pulitzer Prize award is given to those in newspaper, magazine, online journalism, literature, and musical composition for their achievements. This year, for 2024, amongst the 45 journalists who have been selected as finalists, five people’s entries are AI-powered. While the extent of the use of artificial intelligence in their submissions isn’t yet…
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