Deep learning for recommender systems: Literature review and perspectives
B Selma, B Narhimène… - … Conference on Recent …, 2021 - ieeexplore.ieee.org
During the last few years, deep learning revolutionized several fields including: image
analysis, speech recognition and language processing. Deep learning has also become …
analysis, speech recognition and language processing. Deep learning has also become …
A new collaborative filtering approach based on game theory for recommendation systems
S Benkessirat, N Boustia… - Journal of web …, 2021 - ieeexplore.ieee.org
Recommendation systems can help internet users to find interesting things that match more
with their profile. With the development of the digital age, recommendation systems have …
with their profile. With the development of the digital age, recommendation systems have …
[PDF][PDF] A prediction method of consumer buying behavior based on attention mechanism and CNN-BiLSTM
JN Wang, JF Cui, CL Chen - J. Netw. Intell, 2022 - ir.lib.cyut.edu.tw
A prediction method of consumer buying behavior based on attention mechanism and CNN-
BiLSTM is proposed, to fully extract the effective features of the behavior and make its …
BiLSTM is proposed, to fully extract the effective features of the behavior and make its …
To Analyze the Various Machine Learning Algorithms That Can Effectively Process Large Volumes of Data and Extract Relevant Information for Personalized Travel …
J Karthiyayini, RJ Anandhi - SN Computer Science, 2024 - Springer
Recommendation systems are evolving predominantly across tourism, e-commerce,
entertainment, and health industries. They filter information by analyzing heterogeneous …
entertainment, and health industries. They filter information by analyzing heterogeneous …