047 Knowledge Graphs and Machine Learning for Halal Food Product Recommendations – NODES2022

21 Nov, 2022

In this session, we’ll compare the products from an online grocery website with the Halal LOD dataset using the Naive Bayes, K Nearest Neighbors, and Random Forest methods. We’ll perform feature extraction using several graph algorithms: Common Neighbors, Preferential Attachment, Total Neighbors, Label Propagation, and Louvain. Speakers: Nur Aini Rakhmawati Format: Lighting Talk 10-15 min Level: Advanced Topics: #GraphDataScience, #KnowledgeGraph, #MachineLearning, #General, #Advanced Region: APAC Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com

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