English: Diagram of the feedback loop in a recommender system. A platform shows recommendations to a user, and the user's interactions (clicks, viewing time, likes and shares) are fed back to the platform, where they become training data for the ranking model. The platform's model shapes what is recommended, and the user's preferences shape how they interact. Repeated cycles of this loop can amplify already-popular content.
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.
http://creativecommons.org/publicdomain/zero/1.0/deed.enCC0Creative Commons Zero, Public Domain Dedicationfalsefalse
Captions
Feedback loop in a recommender system: a platform recommends content to a user, whose interactions feed back as training data for the ranking model. Repeated cycles can amplify already-popular content.
This file contains additional information, probably added from the digital camera or scanner used to create or digitize it.
If the file has been modified from its original state, some details may not fully reflect the modified file.
Short title
Feedback loop in a recommender system
Image title
A platform and a user exchange content in a loop: the platform shows recommendations to the user, and the user's interactions are fed back to the platform. A model drives the platform's ranking, and the user's preferences drive their interactions.