202511200945 Status: idea Tags: Datascience, Recommender systems

implicit feedback

Implicit feedback, assume that user-item interactions are an indication of preferences. Examples are: purchases/browsing history of a user, list of songs played by a user, etc. This feedback is extremely abundant, but at the same time it is less detailed and more noisy (e.g. someone may buy a product as a present for someone else). However, this noise becomes negligible when compared to the sheer size of available data of this kind, and most modern Recommender Systems tend to rely on implicit feedback

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References

• Dit is iets wat we leren voor Datascience. dit was informatie vanuit avans 2-2 datascience 2025-11-18. en daarbij horen deze slides