Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks

IF 3.2 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Connection Science Pub Date : 2023-12-30 DOI:10.1080/09540091.2023.2289834
Fenfang Xie, Angyu Zheng, Liang Chen, Zibin Zheng, Mingdong Tang
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引用次数: 0

Abstract

Numerous mobile applications (apps) with different functions meet the various needs of users, but users have to spend a lot of time selecting suitable mobile apps. How to select relevant mobile app...
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通过矩阵因式分解和神经网络实现基于加权元图的移动应用推荐
众多功能各异的移动应用程序(Apps)满足了用户的各种需求,但用户不得不花费大量时间来选择合适的移动应用程序。如何选择相关的移动应用程序?
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来源期刊
Connection Science
Connection Science 工程技术-计算机:理论方法
CiteScore
6.50
自引率
39.60%
发文量
94
审稿时长
3 months
期刊介绍: Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.
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