Read Their Minds, Know Their Intent
Help your readers find what they are looking for — right from the search bar. By combining personalization, predictive type-ahead, and multi-modal recommendations leveraging both content-based matching and collaborative-filtering, Fusion can recommend queries, recommend products, auto-correct spellings, suggest related content, and provide intelligent search experiences which consistently and accurately predict user intent and deliver the hyper-personalized results.
Personalization
Search is not one size fits all. Every user has unique interests based on search, browsing and purchase history. Fusion can cater search to each user’s interests.
Predictive Search
Guessing user intent while they are typing helps generate the best results. Correct typos, disambiguate terms, and suggest query improvements and related options — all from the search box — saving time and curbing frustrations.
Multi-modal Recommendations
This is Fusion’s wheelhouse. Collaborative filtering plus content-based matching means bye-bye cold start problems and hello to high-quality recommendations that blend user interactions with full domain understanding.