implicit feedback classification
Implicit feedback classification refers to a method of understanding user preferences or behavior based on their actions or interactions, rather than explicitly solicited feedback. It involves analyzing user data such as browsing patterns, purchase history, or click-through rates to infer their interests, tastes, or preferences.
Requires login.
Related Concepts (1)
Similar Concepts
- implicit bias
- implicit feedback
- implicit feedback analysis
- implicit feedback evaluation
- implicit feedback in collaborative filtering
- 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 learning
- implicit memory
- implicit rating prediction