| Autor: |
QING YIN1, HUI FANG1, ZHU SUN2, YEW-SOON ONG3 |
| Zdroj: |
ACM Transactions on Information Systems. Jan2024, Vol. 42 Issue 1, p1-34. 34p. |
| Abstrakt: |
The article focuses on understanding diversity in session-based recommender systems (SBRSs) and examining the relationship between recommendation accuracy and diversity in these systems. Topics include the performance of representative SBRSs concerning both accuracy and diversity, the complex relationship between accuracy and diversity, and the factors influencing diversity in SBRSs. |
| Databáze: |
Library, Information Science & Technology Abstracts |
| Externí odkaz: |
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