Tourist attraction recommendation method based on megadata and artificial intelligence algorithm
L Yun, H Jiao, K Lu - Wireless Communications and Mobile …, 2022 - Wiley Online Library
As China's economy continues to grow of informational technology and mobile Internet
industry, the online tourism industry has received more and more extensive attention and …
industry, the online tourism industry has received more and more extensive attention and …
Construction of a personalised online learning resource recommendation model based on self-adaptation
Z Chang, K Liu - International Journal of Knowledge-Based …, 2023 - inderscienceonline.com
With the constant advancement of digital technology, the educational paradigm has
experienced seismic shifts. Individuals are becoming more comfortable with using network …
experienced seismic shifts. Individuals are becoming more comfortable with using network …
Reinforcement Learning Recommendation Algorithm Based on Label Value Distribution
Z Guo, J Fu, P Sun - Mathematics, 2023 - mdpi.com
Reinforcement learning is an important machine learning method and has become a hot
popular research direction topic at present in recent years. The combination of reinforcement …
popular research direction topic at present in recent years. The combination of reinforcement …
An improved collaborative filtering model based on time weighted correlation coefficient and inter-cluster separation
R Lan, D Tian, Q Wu, M Li - International Journal of Machine Learning and …, 2023 - Springer
The recommendation system is a good choice to provide users with personalized services.
Facing with a large amount of data, clustering technology can group similar users into one …
Facing with a large amount of data, clustering technology can group similar users into one …
A Review Paper of Model Based Collaborative Filtering Techniques
IA Al-Mani, AMA Al-Sabaawi… - … Conference on Data …, 2022 - ieeexplore.ieee.org
The development of Web 2.0 has seen a growth in rapid data and has caused an
information overload problem. Recently, collaborative filtering of Recommendation System …
information overload problem. Recently, collaborative filtering of Recommendation System …
UI Design and Optimization Method for Museum Display Based on User Behavior Recommendation
L Zhang, Y Gao - Wireless Communications and Mobile …, 2022 - Wiley Online Library
In view of the lack of rich display methods in the display design of museums, it is impossible
to enhance the interest of visitors. This paper proposes a museum object recommendation …
to enhance the interest of visitors. This paper proposes a museum object recommendation …
[PDF][PDF] Exploiting social trust via weighted voting strategy for recommendation systems improvement
HJ Oudah, MH Hussein - Karbala International Journal of Modern Science, 2023 - iasj.net
Recently, social trust information has become a significant additional factor in obtaining high-
quality recommendations. It has also helped to alleviate the problems of collaborative …
quality recommendations. It has also helped to alleviate the problems of collaborative …
Exploiting Textual Reviews for Recommendation Systems Improvement
HJ Oudah, MH Hussein - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Nowadays, the development of the Web has motivated people to provide their opinions in
textual form. Such textual information plays a core role in many methods of …
textual form. Such textual information plays a core role in many methods of …