apache solr
Search Relevance Training [Solr]
This Search Relevance Training teaches you how to design, develop, and configure your open source search engine to maximize how well the search results fit the user information need. Join us as we explore the milestones of search relevance to the deep internals of Apache Lucene/Solr. Exercises and war stories from real-world problems and solutions are included.
Private
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If you are looking for intensive sessions tailored to your (or your team’s) experience, then private training is your perfect choice!
- In presence or Online
- Tailored Training
- Top Expert Trainers
- Certificate of Attendance
Based on experience with leading companies including
Based on experience with leading companies including
PREREQUISITES
• Familiarity with search engine technologies
• Familiarity with Apache Lucene/Solr
WHAT YOU WILL LEARN
• Deep understanding of how query-matching works
• Deep understanding of how search result ranking works
• Capacity of customizing and tuning your system relevance function
• Better debugging/troubleshooting ability
• How to measure the search quality of your engine
INTENDED AUDIENCE
• Technical Manager
• Technical Team Leaders
• Data scientists
• Software Engineers
• Developers
Your Trainer
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.
Topics
- Introduction on Information Retrieval and Lucene/Solr technologies
- The Apache Lucene/Solr Index
- Apache Lucene/Solr field analysis: the schema.xml
- Apache Lucene scoring and document similarity
- Debug Query deep dive
- Apache Solr query parsers (with a focus on the dismax and edismax)
- Field centric vs term centric approach
- Disjunction max vs Boolean approach (and everything in the middle)
- Function Queries
- Additive and Multiplicative boost functions and queries
- Distributed search relevance considerations
- Search Quality Evaluation: how to test your relevance
- Learning to Rank: a machine learning approach for relevance
- Language Modelling and vector-based search: the neural approach to relevance
- Search Relevance War Stories
The Search Relevance Apache Solr Training is available only as a private training. You can choose to ask for a live or virtual training.
The Search Relevance Apache Solr Training last 4 hours.
You will be able to ask every question you have during the training.
Your teacher will be:
– Alessandro Benedetti, Apache Lucene/Solr committer and Apache Solr PMC member.
Sure, at the end of the training you will receive a certificate of attendance by e-mail.
If you need it, you can consult our Training’s Terms and Conditions.
Yes, you can contact us and find the best option for you and your team!