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Learning To Rank – Apache Solr Integration 2022
July 5 @ 3:00 am - 7:00 pm
£ 700
// Learning To Rank
Apache Solr Integration
Apache Solr Integration
With the Learning To Rank (or LTR for short) contrib module, you can configure and run machine-learned ranking models in Solr.
The module also supports feature extraction inside Solr. The only thing you need to do outside Solr is train your own ranking model.
This training illustrates how you can use the Apache Solr LTR component to integrate machine learning with your search pipeline.
PREREQUISITES
• Basic understanding of Search Engines and Machine Learning
WHAT YOU WILL LEARN
• How to integrate Machine Learning with your Search Engine to tune your relevance function
• Ranking models life-cycle (Training and Deploy)
• How to test your ranking models Offline/Online
• How to Build your Apache Solr LTR Query
INTENDED AUDIENCE
• Technical Managers
• Data scientists
• Software Engineers
• Developers
• Machine Learning passionates
Based on experience with leading companies including
// schedule
NO PUBLIC TRAINING SCHEDULED
NO PUBLIC TRAINING SCHEDULED
If you missed the training, you can easily ask for a private one by contacting us on the button below.
// schedule
PUBLIC TRAINING
PUBLIC TRAINING
5th July 2022
from 03:00 to 07:00 GMT +1
If you can't participate, you can easily ask for private training by contacting us on the button below.
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price
£ 700
early bird price: sold out
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1x Learning To Rank – Apache Solr Integration – Training
Price: 700 GBP
By Purchasing a Ticket You Accept our Training’s Terms and Conditions.
// Learning To Rank - Apache Solr Integration
Our Trainers
Alessandro Benedetti
APACHE LUCENE/SOLR COMMITTER
APACHE SOLR PMC MEMBER
Alessandro has been involved in designing and developing search-relevant solutions from 2010.
Over the years he has worked on various projects, with various open source technologies aiming to build search solutions able to satisfy the user information needs, often integrating such solutions with machine learning and artificial intelligence technologies.
Andrea Gazzarini
RRE CREATOR
RRE Creator Andrea Gazzarini is a curious software engineer, mainly focused on the Java language and Search technologies. With more than 15 years of experience in various software engineering areas, his adventure in the search world began in 2010, when he met Apache Solr and later Elasticsearch.
Full Program
- Evaluation and Explainability
- Apache Solr Integration
- Features Management
- Ranking Models Management
- How to rerank search results
- Extract features from the results
- Interleaving
- Hands On Exercises
Frequently Asked Question
The Learning To Rank Apache Solr Integration trainings will take place live on zoom!
We are working on being able to provide a recording of the training for those interested.
Everyone can participate on this training, the only prerequisites are written just over there!
Learning To Rank Apache Solr Integration training last 4 hours.
You will be able to ask every question you have during the training!
Your teachers will be:
– Alessandro Benedetti, Apache Lucene/Solr committer and Apache Solr PMC member.
– Andrea Gazzarini, RRE Creator with more than 15 years of experience in various software engineering areas.
Sure, at the end of the training you will receive a certificate of attendance by e-mail.
If you can’t attend last minute you can contact us and reschedule on a different date with our team. Bear in mind this will have to be a private training.
If you need it, you can consult our Training’s Terms and Conditions.
Yes, you can contact our Sales responsible Oriol Serra and find the best option for you and your team!