Modern relevance in search engines has come a long way since the early days of information retrieval, when simple content-based scoring models first came on the scene. While those core models are still good for a first pass retrieval, more and more search engines are employing machine learning, natural language processing and sophisticated re-ranking techniques to fine tune relevance.
Join Lucidworks CTO Grant Ingersoll for a webinar to discuss general best practices for relevance and how to use Lucidworks Fusion to improve the search & browse experience for your users.
This session will cover:
- What metrics to consider when assessing relevance
- How to use Learning to Rank & Query Intent Classification to improve results
- Hands-on demonstrations highlighting these techniques in action