Report Embracing user unpredictability

Dive into the latest research on recommendation engines and user interaction by downloading our new, cost-free guide on “Embracing user unpredictability – How to get to the next level in building recommendation systems”.

This international study published by Solita and Alice Labs takes a deep dive into the relationship between AI-based recommendation engines and users. The study was carried out in five countries and is part of the two-year Everyday AI project.

The report explains the varying reasons for not meeting user expectations and gives recommendations for improved collaboration between artificial intelligence and users by providing them with more varied interactivity.

Study: Better music, more compelling news? Recommendation engines need more interaction with users

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