08 Cosine Similarity Euclidean Distance Pearson Correlation Coefficient

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=U_rPjNZ0U6c

Cosine Similarity, Euclidean Distance, and Pearson Correlation Coefficient are widely used measures for comparing node similarities based on their properties/features. In the demo provided in the video, Spotify music recommendations are showcased, demonstrating how these similarity measures can be applied to suggest relevant music based on user preferences and characteristics. • Learn more about graph algorithms and Ultipa Graph: • Ultipa Cloud: https://www.ultipa.com/product/ultipa... • Graph Analytics Algorithms Doc: https://www.ultipa.com/document/ultip... • Ultipa Graph Query Language (UQL) Doc: https://www.ultipa.com/document/ultip... • Ultipa Quick Start: https://www.ultipa.com/document/quick... • Chapters: • 00:00 Introduction • 01:00 Cosine Similarity • 01:45 Euclidean Distance • 02:46 Pearson Correlation Coefficient • 05:33 Demo: Spotify Track Recommendation • 08:44 References

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