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Investigating the Efficiency of Graph Algorithms in Recommendation Systems

Abstract: Recommendation systems have become an integral part of our daily lives, helping us discover new products, movies, or music that align with our interests. These systems rely heavily on algorithms to provide accurate and personalized recommendations. Graph algorithms, in particular, have shown great promise in improving the efficiency and effectiveness of recommendation systems. This article explores the efficiency of various graph algorithms commonly used in recommendation systems, highlighting their strengths, limitations, and potential improvements.