Recommender system
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Recommender systems form a specific type of information filtering (IF) technique that attempts to present information items (movies, music, books, news, images, web pages) that are likely of interest to the user. Typically, a recommender system compares the user's profile to some reference characteristics. These characteristics may be from the information item (the content-based approach) or the user's social environment (the collaborative filtering approach).
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See also
- Rating site
- Cold start
- Collaborative filtering
- Collective intelligence
- Content Discovery Platform
- Enterprise bookmarking
- Filter bubble
- Personalized marketing
- Preference elicitation
- Product finder
- configurator
- Pattern recognition
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