Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
International Journal of Advanced Network, Monitoring and Controls
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Personalized Recommendation Multi-Objective Optimization Model Based on Deep Learning
Zepeng Yang
Zepeng Yang
School of Computer Science and Engineering Xi’an Technological University
Xi’an, China
Search for this author on
Sciendo
|
Google Scholar
Yang, Zepeng
,
Ping Lu
Ping Lu
School of Computer Science and Engineering Xi’an Technological University
Xi’an, China
Search for this author on
Sciendo
|
Google Scholar
Lu, Ping
and
Pingping Liu
Pingping Liu
School of Computer Science and Engineering Xi’an Technological University
Xi’an, China
Search for this author on
Sciendo
|
Google Scholar
Liu, Pingping
Mar 28, 2024
International Journal of Advanced Network, Monitoring and Controls
Volume 9 (2024): Issue 1 (January 2024)
About this article
Previous Article
Next Article
Abstract
Article
Figures & Tables
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Mar 28, 2024
Page range:
44 - 57
DOI:
https://doi.org/10.2478/ijanmc-2024-0005
Keywords
Recommendation Algorithm
,
Multi-Objective Optimization
,
Post-Click Conversion Rate
,
Deep Learning
,
The Neural Network
© 2024 Zepeng Yang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.