Deep Learning and Data Mining for Book Recommendation: Retrospect and Expectation-Reference-Cited by-同舟云学术

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Deep Learning and Data Mining for Book Recommendation: Retrospect and Expectation

Published:2022-01-07 Issue: Volume: Page:
ISSN:
Container-title:2022 14th International Conference on Computer Research and Development (ICCRD)
language:
Short-container-title:

Author:

Fu Qiyuan¹,Fu Jinmin²,Wang Disheng³

Affiliation:

1. School of Computer and Communication Engineering, Northeastern University at Qinhuangdao,Qinhuangdao,China

2. College of Photonic and Electronic Engineering, Fujian Normal University,Fuzhou,China

3. Aviation Engineering Institute Civil Aviation, Flight University of China,Guanghan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9730106/9730125/09730317.pdf?arnumber=9730317

Reference19 articles.

1. Facial Expression Analysis under Partial Occlusion

2. Attributed Social Network Embedding

3. Book recommendation system;rajpurkar;IJIRST - International Journal for Innovative Research in Science & Technology,2015

4. A Reinforcement Learning Framework for Explainable Recommendation

5. Explaining collaborative filtering recommendations

Cited by 4 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. Leveraging item attribute popularity for group recommendation;International Journal of System Assurance Engineering and Management;2024-03-17

2. Analysis of Book Preferences Among Visitors in Library System;TEM Journal;2024-02-27

3. Multimodal Deep Learning Framework for Book Recommendations: Harnessing Image Processing with VGG16 and Textual Analysis via LSTM-Enhanced Word2Vec;Traitement du Signal;2023-08-31

4. A parallel and balanced SVM algorithm on spark for data-intensive computing;Intelligent Data Analysis;2023-07-20

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