Zobrazeno 1 - 10
of 4 006
pro vyhledávání: '"recommendation systems."'
Publikováno v:
Vietnam Journal of Computer Science, Vol 11, Iss 04, Pp 487-529 (2024)
Healthcare Recommendation Systems (HRSs) primarily aim to offer advice, recommendations, or suggestions related to human healthcare. Similar to other information systems, datasets affect HRSs’ efficiency. The larger datasets can make the informatio
Externí odkaz:
https://doaj.org/article/7ac8c5e43aef4248ad0c6ff0997193e6
Publikováno v:
Data Technologies and Applications, 2024, Vol. 58, Issue 5, pp. 742-767.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-07-2023-0370
Publikováno v:
International Journal of Web Information Systems, 2024, Vol. 20, Issue 5, pp. 537-582.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJWIS-05-2024-0137
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract As big data technologies continue to evolve, recommendation systems have found broad application in domains such as online retail and social networking platforms. However, centralized recommendation systems raise numerous data privacy concer
Externí odkaz:
https://doaj.org/article/577e962a303b42cabd698e0d52b472f4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Recommendation Systems (RS) play a crucial role in delivering personalized item suggestions, yet traditional methods often struggle with accuracy, scalability, efficiency, and cold-start challenges. This paper presents the HRS-IU-DL model, a
Externí odkaz:
https://doaj.org/article/e517d33196694133b3c9ebdbc75cbe3c
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-25 (2024)
Abstract The fast growth of the film business, along with an ever-increasing number of movie options, has highlighted the need for better recommendation algorithms. This study investigates the application of sentiment analysis in a movie recommendati
Externí odkaz:
https://doaj.org/article/7ff45137ab4145e6ba4b35ca7c85b8ef
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-22 (2024)
Abstract Graph neural networks (GNNs) have gained prominence as an effective technique for representation learning and have found wide application in tag recommendation tasks. Existing approaches aim to encode the hidden collaborative information amo
Externí odkaz:
https://doaj.org/article/98d226a54105472ba9299ffb57a7f5fb
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 2111-2129 (2024)
In fashion e-commerce, predicting item compatibility using visual features remains a significant challenge. Current recommendation systems often struggle to incorporate high-dimensional visual data into graph-based learning models effectively. This l
Externí odkaz:
https://doaj.org/article/ebbfe94ab6304116a578a54aa9cd6b6a
Autor:
Muhammad Nabeel Amin, Shreeraz Memon, Arshad Ali, Hamayun Khan, Roshan Joshi, Muhammad Tausif Afzal Ran, Yazed ALsaawy
Publikováno v:
Journal of Mechanics of Continua and Mathematical Sciences, Vol 19, Iss 9, Pp 166-187 (2024)
Machine learning-based crop recommendation models are invaluable tools for enhancing modern AI-based farming, assisting in decisions about the selection of crops to optimize yield performance and growth. This research introduces an intelligent strate
Externí odkaz:
https://doaj.org/article/982a33e1a64e4428a1e20fd5cdd890a4