Improving group recommendation using deep collaborative filtering approach
The recommender system's objective is to recommend items to users. Providing
personalized suggestions to users is a challenging task. The traditional recommendation …
personalized suggestions to users is a challenging task. The traditional recommendation …
Deep neural network-based multi-stakeholder recommendation system exploiting multi-criteria ratings for preference learning
A commercially viable multi-stakeholder recommendation system maximizes the utility gain
by learning the personalized preferences of multiple stakeholders, such as consumers and …
by learning the personalized preferences of multiple stakeholders, such as consumers and …
Employing cumulative rewards based reinforcement machine learning for personalized music recommendation
M Velankar, P Kulkarni - Multimedia Tools and Applications, 2024 - Springer
Music streaming services have transformed the way people listen to music in recent years.
The current streaming services majorly rely on collaborative and hybrid filtering techniques …
The current streaming services majorly rely on collaborative and hybrid filtering techniques …
A WEIGHTED NEURAL MATRIX FACTORIZATION HEALTH MANAGEMENT RECOMMENDATION ALGORITHM INTEGSCORING DEEP LEARNING TECHNOLOGY
B Gan, Y Chen, J Guo, Q Dong - Journal of Mechanics in Medicine …, 2023 - World Scientific
With the rapid development of Internet medical information technology, a large amount of
medical data appeared on the Internet, however, how to extract effective information from the …
medical data appeared on the Internet, however, how to extract effective information from the …