Relevant Search
Book • 2016
This book demystifies relevance work by showing that a search engine is a programmable relevance framework.
It teaches developers how to apply Elasticsearch or Solr to solve unique ranking problems, incorporate secondary data sources, taxonomies, text analytics, and personalization.
The book emphasizes the importance of softer skills like collaborating with stakeholders and provides a systematic approach to relevance, including techniques for debugging and improving search results.
It teaches developers how to apply Elasticsearch or Solr to solve unique ranking problems, incorporate secondary data sources, taxonomies, text analytics, and personalization.
The book emphasizes the importance of softer skills like collaborating with stakeholders and provides a systematic approach to relevance, including techniques for debugging and improving search results.
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John Berryman
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