Refine Search Result Relevance with Coveo’s Automatic Relevance Tuning Model

Watch and learn how the Automatic Relevance Tuning (ART) AI model can improve search experiences, ensuring users find the most relevant information quickly and effortlessly.

Watch now to discover:

• The importance of Automatic Relevance Tuning in search functionality: Coveo’s ART model automatically adjusts search results, ensuring the most relevant content is prioritized.
• How to quickly set up and refine your ART model: Learn how to configure the ART model within Coveo’s admin interface and fine-tune it based on real-time user interactions.
• The benefits of contextual and relevant recommendations: ART continuously learns from user signals like clicks and searches, refining its algorithms to deliver more accurate results over time.

Why You Need Automatic Relevance Tuning

Coveo’s Automatic Relevance Tuning (ART) is a game-changer for search functionality and user experience. Unlike traditional search engines that merely pull up results, ART continuously learns from user interactions to refine and prioritize content that truly matters.

Key benefits of Coveo’s ART model:

• Superior Search Relevance: ART dynamically ranks search results by analyzing user signals, ensuring that the most pertinent information is always at the top, reducing time spent searching and boosting user satisfaction.
• Boosted Efficiency: By intuitively guiding users to the exact information they need, ART streamlines workflows, significantly improving overall productivity and operational efficiency.
• Improved User Satisfaction: With ART’s ability to refine and prioritize search results based on user behavior, your business can better anticipate user needs and guide them toward relevant products, content, or services, boosting conversion rates and driving revenue growth.