In the Spring '21 release, we released Dynamic Reranking for the FAQ entity type. Now, with this Summer ‘21 Release, we are expanding this functionality to all entity types! Using a new reinforcement learning algorithm, Yext will learn the optimal ranking of search results to maximize clicks by running small, incremental A/B tests. You can read more about the Dynamic Reranking feature in this community post.
As a refresher, dynamic reranking uses machine learning to re-rank results and answers based on user engagement data. Our team has trained a complex model that reranks entities in order of their likelihood to be clicked by the user. The best part? This model will become smarter over time as it is fed more user interaction data.
For example, if it sees that the most clicked on entity is the one that we’re returning in the fifth position, this new feature will allow the algorithms to dynamically, re-rank the results and bump that result to the top because the goal is always to have the first result be the one that’s most relevant and most engaged with.
This will be a powerful feature for increasing clicks and conversions, making your search experience all-around more effective. When users see the result they intended to find in that first spot, they trust the accuracy of the search algorithm, and are more likely to use it in the future.