| Recommendation System |
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Information AboutRecommendation System |
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Recommendation systems work by collecting data from users, using a combination of explicit and implicit methods. Examples of explicit data collection include the following:
Examples of implicit data collection include the following:
The recommendation system compares the collected data to similar data collected from others and calculates a list of recommended items for the user. Several commercial and non-commercial examples are listed in the article on Collaborative Filtering Systems . Recommendation systems are a useful alternative to Search Algorithm s since they help users discover items they might not have found by themselves. Interestingly enough, recommender systems are often implemented using search engines indexing non-traditional data. SEE ALSO
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