Genre-aware user profiling using duration count matrices: A novel approach to enhancing content recommendation systems.
Recommender systems play a vital role in enhancing the user experience and facilitating content discovery on online platforms. However, conventional approaches often struggle to capture users' evolving preferences over time, leading to suboptimal performance as recommended videos frequently do...
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| Main Authors: | Ali Alqazzaz, Zunaira Anwar, Mahmood Ul Hassan, Shahnawaz Qureshi, Mohammad Alsulami, Ali Zia, Sultan Alyami, Syed Muhammad Zeeshan Iqbal, Sajid Anwar, Asadullah Shaikh |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0312520 |
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