Learning to Rank for Improved Search Results
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.
In this webinar, you’ll learn:
- How to use Learning to Rank in Solr
- Tips on providing better search results with LTR
- How to combine LTR with ML techniques for yielding even better results