Novel centroid selection approaches for KMeans-clustering based recommender systems
Recommender systems have the ability to filter unseen information for predicting whether a particular user would prefer a given item when making a choice. Over the years, this process has been dependent on robust applications of data mining and machine learning techniques, which are known to have sc...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2015-11-01.
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| Subjects: | |
| Online Access: | Get fulltext |