content-based filtering
Content-based filtering is a technique used in recommendation systems where recommendations are made based on the similarity of the content or attributes of items. It involves analyzing the characteristics and features of an item, and then suggesting similar items to users based on their preferences and past interactions with similar items.
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Related Concepts (2)
Similar Concepts
- adaptive filtering
- collaborative filtering algorithms
- content filtering
- content management
- content security policy
- content sniffing
- content spoofing
- context-aware collaborative filtering
- firewalls and filtering
- implicit feedback-based content recommendation
- input filtering
- item-based collaborative filtering
- user-based collaborative filtering
- user-generated content
- web filters and content filtering