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

Name: 047 Knowledge Graphs and Machine Learning for Halal Food Product Recommendations – NODES2022
Uploaded: 2022-12-13T13:30:54-08:00
Duration: 13 min 48 s
Description: 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…

December 13, 2022
Length: 14 min

Nur Aini Rakhmawati Presenter Subscribe

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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:
Region: APAC

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