Zobrazeno 1 - 10
of 541
pro vyhledávání: '"hybrid recommendation"'
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
Autor:
Jun Wang, Rongjie Hu
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e38195- (2024)
Financial product recommendation algorithms are mainly product-centered. This article proposes a two-stage recommendation optimization algorithm based on item popularity and user features, named CPCF-TSP, that can make full use of the demographic cha
Externí odkaz:
https://doaj.org/article/a90f9ab1bd824ab89e547ad3dbeffdb9
Autor:
Wang, Jun ⁎, Hu, Rongjie
Publikováno v:
In Heliyon 15 October 2024 10(19)
Publikováno v:
Engineering, Construction and Architectural Management, 2022, Vol. 31, Issue 1, pp. 115-135.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ECAM-12-2021-1143
Publikováno v:
IEEE Access, Vol 12, Pp 140053-140071 (2024)
The commercial success of online retailing platforms relies on sophisticated technological advancements of recommender systems. As online marketplaces gain popularity it becomes crucial to provide accurate product suggestions to make personalized sho
Externí odkaz:
https://doaj.org/article/aa3cb8054e1c46a392315be18c93d5b8
Publikováno v:
IEEE Access, Vol 12, Pp 28273-28296 (2024)
This article presents a systematic literature review on hybrid recommendation systems (HRS) in the e-commerce sector, a field characterized by constant innovation and rapid growth. As the complexity and volume of digital data increases, recommendatio
Externí odkaz:
https://doaj.org/article/ba625754c0ab4d44b08e4adaab20e8f7
Publikováno v:
CyTA - Journal of Food, Vol 21, Iss 1, Pp 481-492 (2023)
ABSTRACTGreen food is well-known for its health benefits, environmental-friendliness, and safety. Current recommender systems used by e-commerce websites usually recommend products based on products' popularity or customers' ratings. However, users'
Externí odkaz:
https://doaj.org/article/7c0d5175238d4d7ea457c371b6eb54b9
Autor:
Zheng Lili, Cui Lina
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 2, Pp 2777-2786 (2023)
This paper builds a cloud-oriented speech teaching system based on deep learning mode. A synthetic algorithm for decision-making based on depth and hierarchy knowledge is presented. This algorithm calculates the weight matrix of the user and marks to
Externí odkaz:
https://doaj.org/article/57383929938344b8b039cffe20f6f395
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4473 (2024)
Nowadays, the demand for more personalized healthy food recipes is increasing over time, but traditional personalized recipe recommendation systems often tend to overlook the differences that exist in different users’ health conditions. This paper
Externí odkaz:
https://doaj.org/article/7315ae68a0dd484c8b118e996ea8141b
Autor:
Mou Lian
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Algorithmic recommendation is an important means of using multimedia technology for cultural dissemination and helping rural cultural revitalization. In order to realize the effective dissemination of Luo Yue rice culture, this paper constructs a hyb
Externí odkaz:
https://doaj.org/article/a279d2ea290a476a966728d91f5df911