implicit feedback dataset
An implicit feedback dataset refers to a collection of user activity data that is used to infer preferences or interests based on implicit indicators, such as clicks, views, or purchase history, without explicit user ratings or feedback.
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Related Concepts (20)
- collaborative filtering
- implicit feedback analysis
- implicit feedback classification
- implicit feedback evaluation
- implicit feedback modeling
- implicit feedback preprocessing
- implicit feedback recommendation algorithms
- implicit feedback validation
- implicit feedback-based content recommendation
- implicit feedback-based personalized systems
- implicit feedback-based social recommendation
- implicit rating prediction
- item-based recommendations
- latent factor models
- matrix factorization
- preference estimation
- recommendation systems
- top-n recommendation
- user preferences
- user-item interactions
Similar Concepts
- effective feedback
- feedback and evaluation
- feedback and reflection
- feedback loop
- implicit and explicit memory
- implicit association
- implicit bias
- implicit feedback
- implicit feedback in collaborative filtering
- implicit learning
- implicit memory
- implicit references
- informal performance evaluation and feedback
- peer feedback
- peer feedback and evaluation