How Does Fusion Hyper-Personalize?
Lucidworks can precisely personalize queries using signals from:
- Signal-driven relevance based on user behavior and queries
- Clustering and classification for a better search experience
- Modern distributed architecture built on Apache Solr and Spark
- Query rewriting algorithms like synonym detection, phrase detection, head tail detection, misspelling detection
- Recommenders with collaborative filtering, matrix decomposition, item/item and user/item recommenders
Learn more about how Lucidworks uses data to hyper-personalize every customer experience.
