Customizing Ranking Models in Solr to Improve Relevance for Enterprise Search

As we countdown to the annual Lucene/Solr Revolution conference in Las Vegas next month, we’re highlighting talks and sessions from past conferences. Today, we’re highlighting Salesforce’s Ammar Haris & Joe Zeimen’s talk, “Customizing Ranking Models in Solr to Improve Relevance for Enterprise Search”.

Solr provides a suite of built-in capabilities that offer a wide variety of relevance related parameter tuning. Index and/or query time boosts along with function queries can provide a great way to tweak various relevance related parameters to help improve the search results ranking. In the enterprise space however, given the diversity of customers and documents, there is a much greater need to be able to have more control over the ranking models and be able to run multiple custom ranking models.

This talk discusses the motivation behind creating an L2 ranker and the use of Solr Search Component for running different types of ranking models at Salesforce.

Join us at Lucene/Solr Revolution 2017, the biggest open source conference dedicated to Apache Lucene/Solr on September 12-15, 2017 in Las Vegas, Nevada. Come meet and network with the thought leaders building and deploying Lucene/Solr open source search technology. Full details and registration…