March 2014
Intermediate to advanced
664 pages
21h 15m
English
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Chapter 16. Mastering relevancy
This chapter covers
- Debugging relevancy scores
- Boosting relevancy based upon fields, terms, and payloads
- Crafting function queries to improve relevancy scores
- Using Solr for personalized search and recommendations
- Running and measuring relevancy experiments
The overview of Solr’s default relevancy scoring algorithm in chapter 3 introduced how Solr calculates the similarity score (by default) between a query and its matching documents. Since then, most of this book has focused upon using additional search features to scale Solr, improving the user experience, and configuring text and query analysis in order to find the right set of documents which match any given query.
Once that right set of documents is found, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.