Weighting of Features in Content-Based Filtering with Entropy and Dependence Measures
Content-based recommender systems (CBRS) are tools that help users to choose items when they face a huge amount of options, recommending items that better fit the user's profile. In such a process, it is very interesting to know which features of the items are more important for each user, thus...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2014-01-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25868463.pdf |