Hyperparameter Learning for Deep Learning-Based Recommender Systems-Reference-Cited by-同舟云学术

Hyperparameter Learning for Deep Learning-Based Recommender Systems

Published:2023-07-01 Issue:4 Volume:16 Page:2699-2712
ISSN:1939-1374
Container-title:IEEE Transactions on Services Computing
language:
Short-container-title:IEEE Trans. Serv. Comput.

Author:

Wu Di¹^ORCID,Sun Bo²,Shang Mingsheng²^ORCID

Affiliation:

1. College of Computer and Information Science, Southwest University, Chongqing, China

2. Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China

Funder

National Natural Science Foundation of China

Key Cooperation Project of Chongqing Municipal Education Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/4629386/10213383/10018302.pdf?arnumber=10018302

Reference47 articles.

1. An adaptive and momental bound method for stochastic learning;ding;CoRR,2019

2. Personalized Adaptive Meta Learning for Cold-start User Preference Prediction

3. On the convergence of adam and beyond;reddi;Proc 6th Int Conf Learn Representations,2018

4. A Survey on Large-Scale Machine Learning

5. Deep Learning for Search and Recommender Systems in Practice

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Knowledge graph-based representation and recommendation for surrogate modeling method;Advanced Engineering Informatics;2024-10

2. A GAI-based multi-scale convolution and attention mechanism model for music emotion recognition and recommendation from physiological data;Applied Soft Computing;2024-10

3. A self-training method based on fast binary bare-bones particle swarm optimization for semi-supervised classification;Engineering Applications of Artificial Intelligence;2024-10

4. Online learning for data streams with bi-dynamic distributions;Information Sciences;2024-08

5. Deep learning with the generative models for recommender systems: A survey;Computer Science Review;2024-08