Multi-Signal Ranking introduces an advanced approach to search result optimization by leveraging multiple data signals. This enhancement allows organizations to refine search relevance by incorporating diverse factors such as product attributes, business KPIs, and user interactions. By balancing multiple ranking signals beyond just popularity - businesses can improve relevance, drive higher conversions, and align search results with strategic objectives. This capability extends Dynamic Re-Ranking, ensuring more unique queries benefit from optimized ordering. Organizations can now prioritize factors like product margins, fast shipping, and brand affinity while maintaining search relevance. The intuitive admin interface allows easy configuration of ranking strategies, with continuous learning adapting to new data for sustained optimization. Click here to learn more.

Dynamic Re-Ranking (DRR) Advanced is now generally available for Elevate customers, with Premium customers able to access it through an additional bundle. This release brings significant updates, including hourly DRR score refreshes for near-real-time adjustments, support for up to five browsing facets for enhanced filtering, and improved ranking for empty queries. These changes address longstanding customer feedback and expand DRR's functionality, delivering improved relevance and adaptability to shifting user behaviors. By optimizing content presentation and search relevance, DRR Advanced empowers businesses to enhance the user experience and achieve better engagement outcomes. Click here to learn more. 

Dynamic Re-Ranking (DRR) Advanced is available in Beta for Elevate customers. DRR is a powerful AI feature that optimizes search results for increased relevance. This update addresses long-standing customer requests, including:

• Hourly Refresh: DRR scores are now refreshed hourly, ensuring results reflect the latest user behavior and events (previously updated daily).
• Multi-Facet Support: DRR now supports re-ranking for more than one browsing facet, allowing for more precise control over filtered searches (e.g., category and brand).
• Empty Query Re-Ranking: Unfiltered empty queries will now display the most relevant results based on overall popularity, while filtered queries will prioritize results specific to the applied filters.

By participating in the public beta, Elevate customers can leverage these enhancements to achieve significant improvements in conversion rates. 

Query Categorization is relocated from the “Configure” to the “Enhance” section in the dashboard. Although the feature's location is changing, there are no alterations to the plans that have access to it or the available configuration options. This move clarifies the distinction between basic configuration and advanced enhancement features, making it easier for users to navigate and utilize the dashboard effectively.

Enhanced explainability for NeuralSearch results has been implemented, enabling customers to better understand why search results are presented and ordered as they are. Previously, the combination of multiple factors such as keyword matching, semantic understanding, and ranking factors made it challenging to discern the reasoning behind search result rankings. This update addresses that issue by introducing a new "Why were these results returned?" section on the search results page, providing a clear breakdown of the composition of the search results feed. Additionally, visual aids have been added to help understand the relative ranking of results. Enhanced explainability not only boosts confidence in search results but also provides actionable insights, ensuring a better user experience.