Algolia's AI Personalization now offers suggested affinities to guide customers in selecting relevant attributes for their personalization configurations. By analyzing existing attributes and applying strict criteria, Algolia provides recommendations that can help improve the quality of user profiles and enhance personalization outcomes. Suggested affinities can streamline the configuration process and reduce the likelihood of misconfigurations. Customers can still choose their own affinities and conduct A/B testing to further refine their personalization strategies. Click here to learn more.

Algolia's AI Personalization now supports multi-index personalization strategies, allowing you to configure distinct personalization settings for different primary indices. This empowers businesses to deliver more tailored experiences to their users, addressing a significant market need. By following a few simple steps, you can easily set up and manage multiple personalization strategies, ensuring that your users receive content that aligns with their specific preferences and interests. Click here to learn more.

This Private Beta allows you to activate Personalization for any recommendation model with one click and view it in the dashboard. This ensures results are tailored to each user’s preferences by integrating personalization signals, improving the user experience.

Manually setting up and tuning personalization can be time-consuming and imprecise. With Dynamic Weights, this process is automated, continuously adapting to user behavior and seasonal trends to ensure relevance over time. It eliminates the need for manual adjustments, reducing the guesswork typically involved in assigning weights to events and facets and making experimentation with various personalization strategies a breeze. Click here to learn more.

AI Personalization in the Merchandising Studio in private beta addresses a significant gap in the ranking configuration tools. Previously, configuring and visualizing the impact of AI personalization was not possible within the "Layers of Ranking" widget. With this update, AI Personalization is now integrated into the widget, inviting users who haven't activated it to configure the feature. This feature allows the selection of user tokens to visualize the impact on any query or category page, offering greater control and explainability in a no-code, unified interface. This feature is accessible to all customers in the AI Personalization private beta and will be included in the general availability launch of the feature. Watch demo here.

The new “Recommended for You” model is now in private beta. It enables the creation of personalized product carousels by leveraging individual affinity profiles. This feature delivers more relevant content to your users, boosting user engagement and conversion.