Machine Learning: Building your first recommender
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Algorithms • March 2017
Machine Learning: Building your first recommender
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About
Machine Learning: Building your first recommender
About

During the webinar Jettro walks you through all the steps to create yourself a recommender. Getting data for your recommendations from user events. Handling and enriching these user events before storing them ready to be used by the recommender. Creating a recommendation using concepts like (non) personalised recommendations, cold users, cold products and similarity algorithms L1/L2-Norm, Cosine, Pearson, k-means clustering. After this presentation you know what you need to do to get recommendations on your website.

Language
English
Level
Intermediate
Length
42 minutes
Type
webinar
About the speaker
About the speaker
Jettro Coenradie
FellowLuminis
I am a Software Developer / Architect with a lot of hands on experience in Java, ReactJS, Elasticsearch and lots of others tools / frameworks. I like to use these technologies to help customers with their business challenges. I have experience with importing, transforming, presenting and learning from data. Currently I am working on improving the results of search engines using learning to rank and other relevance tuning techniques. I am involved with multiple open source projects, among them is the learning-to-rank plugin for elasticsearch.
Details
Language
English
Level
Intermediate
Length
42 minutes
Type
webinar