Learning to Rank (LTR) is a machine learning technique for improving search results based on user behavior. When faced with complex queries, datasets, or user behavior, sometimes search algorithms like BM25 or TF-IDF aren’t enough to render the results we need. Using Solr’s LTR is a powerful way to improve search results.
Watch this recorded webinar to explore Solr’s Learning to Rank functionality. We’ll take a typical dataset and show how LTR can significantly improve results. We’ll also show you how applying machine learning (ML) and AI techniques with LTR can drive even better results.