Modern Techniques for Better Search Relevance in Solr

Explore modern techniques for enhancing search relevance in Apache Solr in this 56-minute conference talk by Grant Ingersoll, CTO of Lucidworks. Delve into the evolution of search engine relevance beyond traditional TF-IDF and BM25 scoring models. Learn about cutting-edge approaches incorporating machine learning, natural language processing, and sophisticated re-ranking techniques. Discover best practices for relevance tuning, including measurement methods and metrics. Gain insights into implementing learning to rank and query intent classification to improve search results. Conclude with a glimpse into the application of deep learning and word2vec in search contexts, equipping you with advanced knowledge to optimize your Solr-based search systems.

BM25 is So Yesterday: Modern Techniques for Better Search Relevance in Solr - Grant Ingersoll