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Undergraduate Project Report: Project Title: Movie Recommendation Using Knowledge Graph by randyqin628 is a document available to read on EtoBox.

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This undergraduate project report presents a movie recommendation system utilizing a Knowledge Graph Convolutional Network (KGCN) model to address information overload in online movie platforms. The project involves building a knowledge graph from the MovieLens-20m dataset, developing and evaluating the KGCN model, and deploying a web application for real-world testing. The results indicate that the KGCN model significantly improves recommendation accuracy, achieving an AUC of 0.978 compared to baseline mod

Author

randyqin628

Language

EN