Optimal Diversity of Recommendation List for Recommender Systems based on the Users' Desire Diversity
Nowadays, recommender systems suggest lists of items to users considering not only accuracy but also diversity and novelty. However, suggesting the most diverse list of items to all users is not always acceptable, since different users prefer and/or tolerate different degree of diversity. Hence sugg...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korea Institute of Science and Technology Information
2019-09-01
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| Series: | Journal of Information Science Theory and Practice |
| Subjects: |