The final ebook of Relevant Search is out (printed copies out on the 29th)
Read more here! To quote the description:
Users expect search to be simple: They enter a few terms and expect perfectly-organized, relevant results instantly. But behind this simple user experience, complex machinery is at work.
Relevant Search demystifies relevance work. Using Elasticsearch, it teaches you how to return engaging search results to your users, helping you understand and leverage the internals of Lucene-based search engines. Relevant Search walks through real-world problems using a cohesive philosophy that combines text analysis, query building, and score shaping to express business ranking rules to the search engine. It outlines how to guide the engineering process by monitoring search user behavior and shifting the enterprise to a search-first culture focused on humans, not computers. You'll see how the search engine provides a deeply pluggable platform for integrating search ranking with machine learning, ontologies, personalization, domain-specific expertise, and other enriching sources
Needless to say we've put a lot of blood, sweat, and tears into the book! John Berryman and I hope you find the book useful to your work. Feel free to post any feedback or questions here or in the Manning forum
Best,
Doug Turnbull
Lead Relevance Consultant
OpenSource Connections