An Improved Dual-Channel Deep Q-Network Model for Tourism Recommendation-Reference-Cited by-同舟云学术

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An Improved Dual-Channel Deep Q-Network Model for Tourism Recommendation

Published:2023-08-01 Issue:4 Volume:11 Page:268-281
ISSN:2167-6461
Container-title:Big Data
language:en
Short-container-title:Big Data

Author:

Liang Shengbin¹,Jin Jiangyong¹^ORCID,Ren Jia²,Du Wencai³,Qu Shenming¹

Affiliation:

1. School of Software, Henan University, Kaifeng, Henan, China.

2. School of Information and Communication Engineering, Hainan University, Haikou, Hainan, China.

3. Institute for Data Engineering and Science, University of Saint Joseph, Macau SAR, China.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

https://www.liebertpub.com/doi/pdf/10.1089/big.2021.0353

Reference32 articles.

1. An effective collaborative filtering algorithm based on user preference clustering

2. Content Recommendation Algorithm for Intelligent Navigator in Fog Computing Based IoT Environment

3. College Library Personalized Recommendation System Based on Hybrid Recommendation Algorithm

4. Human-level control through deep reinforcement learning

Cited by 3 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. Personalized Intelligent Recommendation Model Construction Based on Online Learning Behavior Features and CNN;Information Technology and Control;2024-03-22

2. Multimodal representation learning for tourism recommendation with two-tower architecture;PLOS ONE;2024-02-23

3. Tour Route Recommendation Model by the Improved Symmetry-Based Naive Bayes Mining and Spatial Decision Forest Search;Symmetry;2023-12-06

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