WF-9GYGWS
Collaborative Filtering Prone to Popularity Bias, Resulting in Overrepresentation of Popular Items in the Recommendation Outputs
Collaborative filtering prone to popularity bias, resulting in overrepresentation of popular items in the recommendation outputs.
- Date it happened
- 2022-03-01
- Organisation involved
- Facebook, LinkedIn, YouTube, Twitter, Netflix
- Product, system or model
- Collaborative filtering recommender algorithms prioritize items that are perceived to be popular among "people like you," as best the host framework can understand what kind of consumer you are. It is
Where this came from
Attribution
This incident was imported from AI Incident Database and is used under CC BY-SA 4.0. Our additions to it — the structured fields, the translation, the checks against other reports — are published under the same licence.
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