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

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

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 apps for users has become an important issue. Existing studies mainly utilise context, user interest, priv...

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Bibliographic Details
Main Authors: Fenfang Xie, Angyu Zheng, Liang Chen, Zibin Zheng, Mingdong Tang
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Connection Science
Subjects:
Mobile app recommendation
heterogeneous information network
meta-graph
matrix factorisation
neural network
Online Access:https://www.tandfonline.com/doi/10.1080/09540091.2023.2289834

Internet

https://www.tandfonline.com/doi/10.1080/09540091.2023.2289834

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