Hello fellow Solr users, We're writing a book on applied Lucene search relevance -- "Relevant Search" (http://manning.com/turnbull). We want to teach you to improve the quality of your Solr search results! We're trying to bridge the academic side of Information Retrieval from books like Intro. to IR ( http://www-nlp.stanford.edu/IR-book/) and Lucene-based search engines like Solr and Elasticsearch.
Manning is offering discount code *39turnbull* to the Solr mailing list readers to get 39% off all formats (http://manning.com/turnbull). You can preview parts/ideas of our book here: http://java.dzone.com/articles/solr-and-elasticsearch http://opensourceconnections.com/blog/2015/05/15/relevance-data-modeling/ https://medium.com/@softwaredoug/search-is-eating-the-world-1c3dbdfe9b83 Our chapters seem to be taking the form of 1/3 broad relevance tuning philosophy, 2/3 useful examples. While we build a lot of our examples with Elasticsearch, we're also working to try bridge them to Solr as well in the final book so the book can apply to both audiences. After all, almost every idea is translatable between both search engines that share the same Lucene core. If you get into the book, we'd be open to your ideas (or even help:-p) on how to best do this from the community. Happy Searching! -Doug Turnbull & John Berryman -- *Doug Turnbull **| *Search Relevance Consultant | OpenSource Connections, LLC | 240.476.9983 | http://www.opensourceconnections.com Author: Relevant Search <http://manning.com/turnbull> from Manning Publications This e-mail and all contents, including attachments, is considered to be Company Confidential unless explicitly stated otherwise, regardless of whether attachments are marked as such.
