Superior enterprise and customer experiences driven by signal capture and relevance boosting using machine learning.
Simple adjustments to the data experience shouldn’t require engineers to get involved. Fusion AI’s Query Workbench gives you point-and-click configuration to shape, enhance, and sharpen the user experience. Evaluate configuration changes before they are committed to live to production.
- Redirects and landing pages
- Facets and filters
- Security trimming
Fusion AI captures and aggregates signals like queries, clicks, views, purchases and other user behavior to create a customized, optimized experience for each user.
Powerful recommenders for collaborative filtering for several varieties of recommendations customized for each user:
Collaborative recommendations that re-rank results based on clicks including models like user-item, item-item, query-item, and query-query models.
Personalized recommendations that aggregate all of a user’s history and actions, and highlights items for further exploration and discovery.
Predictive search that suggests items and documents before a user even enters query.
Relevancy Tuning with Preview
Full control over relevancy with simulated preview before committing changes live to production—and of course rules for boosts and blocks as well.
Add intelligence to your apps with machine learning models that are pre-tuned and ready to use immediately – and create and train new models on existing data sets.