Exploiting Visual Content for Travel Location Recommendation-Reference-Cited by-同舟云学术

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Exploiting Visual Content for Travel Location Recommendation

Published:2021-12-09 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)
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Author:

Ameen Thaair¹,Khalid Mustafa²,Abdulqahar Asmaa Waleed³,Tariq Ali⁴

Affiliation:

1. Mosul University,Dept. Presidency of Mosul University,Mosul,Iraq

2. Zhejiang University,Dept. College of Control Science and Engineering,Hangzhou,China

3. Al-Mustansiriya University,Dept. College of Medicine,Baghdad,Iraq

4. Mosul University,Dept. College Of Dentistry,Mosul,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9698246/9698247/09698444.pdf?arnumber=9698444

Reference23 articles.

1. Understanding and comparing deep neural networks for age and gender classification;lapuschkin;Proceedings of the IEEE International Conference on Computer Vision Workshops,0

2. Recommendation with social dimensions;tang;THIRTIETH AAAI Conference on Artificial Intelligence,0

3. Recommender systems with social regularization

4. A Convolutional Neural Network and Matrix Factorization-Based Travel Location Recommendation Method Using Community-Contributed Geotagged Photos

5. Probabilistic matrix factorization;mnih;Advances in neural information processing systems,2008

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