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SEARCH QUALITY EVALUATION

Search Quality Evaluation – Open Source Approaches

This training explores the current open source landscape for search quality evaluation.
Be ready to learn how to leverage technologies such as RRE and Quepid to run search quality evaluations on your system to drive progress on search relevance!

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

universal
BBC
Alfresco

PREREQUISITES

• Software engineering background

• Familiarity with search engine technologies

WHAT YOU WILL LEARN

• Deep understanding of relevance

• How to measure the search quality of your search engine

• Clear understanding of offline/online evaluation metrics

• How to integrate evaluation technologies/tools with your ecosystem

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

  • Why it is important to measure the quality of your search system
  • Offline Evaluation Metrics
  • Online Evaluation Metrics
  • Quepid Deep Dive
  • When to run Search Quality Evaluation
  • Open Source Tools Overview
  • How to integrate Open Source Tools in your software development life-cycle
  • Rated Ranking Evaluator Deep Dive
  • How to integrate Enterprise Tools in your software development life-cycle
  • RRE-Enterprise Deep Dive
  • Continuous Evaluation
  • Explore and understand your results

The Search Quality Evaluation Open Source Approaches training is available only as a private training. You can choose to ask for a live or virtual training.

The Search Quality Evaluation Open Source Approaches 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.

Yes, you can contact us and find the best option for you and your team!

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