Interpretable machine learning for personalized medical recommendations: A LIME-based approach
Y Wu, L Zhang, UA Bhatti, M Huang - Diagnostics, 2023 - mdpi.com
Chronic diseases are increasingly major threats to older persons, seriously affecting their
physical health and well-being. Hospitals have accumulated a wealth of health-related data …
physical health and well-being. Hospitals have accumulated a wealth of health-related data …
Artificial intelligence in music: recent trends and challenges
J Mycka, J Mańdziuk - Neural Computing and Applications, 2024 - Springer
Music has always been an essential aspect of human culture, and the methods for its
creation and analysis have evolved alongside the advancement of computational …
creation and analysis have evolved alongside the advancement of computational …
Click-through rate prediction model based on graph networks and feature squeeze-and-excitation mechanism
Z Bi, S Sun, W Zhang, M Shan - International Journal of Web …, 2024 - emerald.com
Purpose Predicting a user's click-through rate on an advertisement or item often uses deep
learning methods to mine hidden information in data features, which can provide users with …
learning methods to mine hidden information in data features, which can provide users with …
An improved cat swarm search-based deep ensemble learning model for group recommender systems
Recommender systems are often employed in different fields such as music, travel, and
movies. The recommender systems are broadly utilised nowadays due to the emergence of …
movies. The recommender systems are broadly utilised nowadays due to the emergence of …
Constructing a personalized recommender system for life insurance products with machine‐learning techniques
The collaborative filtering (CF) recommendation algorithm predicts the purchases of specific
users based on their characteristics and purchase history. This study empirically analyzes …
users based on their characteristics and purchase history. This study empirically analyzes …
Workplace Recommendation with Temporal Network Objectives
Workplace communication software such as Microsoft Teams, Slack, and Google Workspace
have become integral to workplace collaboration, especially due to the rise of remote work …
have become integral to workplace collaboration, especially due to the rise of remote work …
Personalized music recommendation algorithm based on spark platform
J Sun - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Aiming at the shortcomings of traditional recommendation algorithms in dealing with large‐
scale music data, such as low accuracy and poor real‐time performance, a personalized …
scale music data, such as low accuracy and poor real‐time performance, a personalized …
Construction and implementation of music recommendation model utilising deep learning artificial neural network and mobile edge computing
J ** is a form of electronic commerce that enables customers to purchase
products directly from the seller over the internet using a web browser or a mobile …
products directly from the seller over the internet using a web browser or a mobile …