So what are signals?
They are the things people click on. The things that they don’t. The things they put in their carts, and the things they leave behind. The things they eventually download. Even the items they hover over.
Search is a fine balance between providing the most relevant results (precision) while giving them enough selection to choose from (recall). Signals (and Fusion) help you do both.
Autocomplete is a must-have feature for any search app that relies on signal capture and user behavior analysis. Fusion ships with multiple algorithms for generating and ranking the most relevant type-ahead autocomplete suggestions, based on content and user signals.
See how capturing user behavioral data and using ranking algorithms like Learning-to-Rank can give each user a more personalized and relevant search experience.
Opt for signal-based processing over rule-based systems. Find out why IDC says “signals provides for more relevant searches as well as recommendations for the ‘next best action’ that users should take.”
Explore a real-world e-commerce dataset and see how quickly the Fusion platform lets you leverage signals derived from search query logs to rapidly and dramatically improve search results over a products catalog.
Fusion can precisely personalize queries using signals from a variety of external sources, including:
36% of US online adults believe that retailers should offer them more personalized experiences.” (Forrester)
Customers know what they want. But may not call it what you do. Head/tail analysis automates synonym detection, understands their intention, and corrects the query.
“85% of employees are not engaged or actively disengaged at work.” (Gallup)
Within an organization, nomenclature can change. Head/Tail Analysis automates synonym detection and corrects the query so users find what they need, stay engaged, and take action.
There’s nothing artificial about intelligence. Augmented intelligence is when AI extends human judgement instead of replacing it.
Learn how machine learning and search engines are a incredible combination for creating powerful experiences for customers and employees.
How clustering and classification algorithms can improve the search experience for your employees and customers.
Underperforming queries aggravate everyone. Head/tail analysis stops it.
Users are constantly telling you what they like and what they don’t. Are you listening?
Some users know exactly what they’re looking for – almost. With every query, facets give every user a more precise set of results.
The best search applications index all of a company’s data so users have one unified search experience.
Personalization is about addressing people by name. Hyper-personalization is figuring out what they really want.
Ready to create amazing search and data discovery apps? Contact us today to learn how Fusion can help you and our team put the power of AI, machine learning, and deep learning to work to dazzle your customers and empower your employees.