implicit feedback in collaborative filtering
Implicit feedback in collaborative filtering refers to the data collected from users' indirect actions or behaviors, such as clicks, purchases, or views, to infer their preferences. It involves utilizing these implicit cues to make recommendations in a collaborative filtering system, rather than relying on explicit ratings or feedback provided by users.
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Similar Concepts
- collaborative filtering algorithms
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- implicit feedback dataset
- implicit feedback evaluation
- implicit feedback modeling
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