Overview
Public LTR trainings are delivered via the online platform Moodle. This combines prerecorded video from members of the OSC team, slides, labs and quizzes so you make sure you’ve covered all the material.
Learn how to:
- Interact with the Solr, OpenSearch & Elasticsearch Learning to Rank plugins
- Use machine learning to optimize relevance
- Avoid common pitfalls on Learning to Rank projects
- Avoid ‘garbage-in, garbage out’ – generating great features and training data
- Carry out hands-on work with Learning to Rank models
- Integrate click models and conversions to generate meaningful training data
This training is appropriate for members of the search team that have an interest in optimizing search with advanced programming techniques and machine learning:
- Search Engineers
- Data Scientists
- Data Engineers that use the search engine
- Machine learning engineers
- Relevance engineers
- Product team members wanting exposure to machine learning methods
Highlights
- Industry-leading training created by the authors of 'Relevant Search', published by Manning and the creators of the Elasticsearch Learning to Rank plugin used on Wikipedia
- Our trainings have been taken by hundreds of relevance engineers, search product owners, search data scientists and ML specialists
- Train at your own pace with labs, exercises and quizzes to verify your learning
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
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Each week, between 9am-10am US Eastern Time on Wednesday, an OSC instructor will lead an online session where you can ask questions about the training, review the results of labs and exercises. We’ll also invite you and other trainees to a private Slack channel with our instructors on Relevance Slack.