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

1
College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
2
College of Computer Science, Mosul University, Mosul 41002, Iraq
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(8), 464; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9080464
Received: 3 May 2020 / Revised: 28 May 2020 / Accepted: 15 July 2020 / Published: 22 July 2020
Travel location recommendation methods using community-contributed geotagged photos are based on past check-ins. Therefore, these methods cannot effectively work for new travel locations, i.e., they suffer from the travel location cold start problem. In this study, we propose a convolutional neural network and matrix factorization-based travel location recommendation method to address the problem. Specifically, a weighted matrix factorization method is used to obtain the latent factor representations of travel locations. The latent factor representation for a new travel location is estimated from its photos by using a convolutional neural network. Experimental results on a Flickr dataset demonstrate that the proposed method can provide better recommendations than existing methods. View Full-Text
Keywords: travel location recommendation; matrix factorization; convolutional neural network; cold start problem travel location recommendation; matrix factorization; convolutional neural network; cold start problem
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MDPI and ACS Style

Ameen, T.; Chen, L.; Xu, Z.; Lyu, D.; Shi, H. A Convolutional Neural Network and Matrix Factorization-Based Travel Location Recommendation Method Using Community-Contributed Geotagged Photos. ISPRS Int. J. Geo-Inf. 2020, 9, 464. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9080464

AMA Style

Ameen T, Chen L, Xu Z, Lyu D, Shi H. A Convolutional Neural Network and Matrix Factorization-Based Travel Location Recommendation Method Using Community-Contributed Geotagged Photos. ISPRS International Journal of Geo-Information. 2020; 9(8):464. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9080464

Chicago/Turabian Style

Ameen, Thaair, Ling Chen, Zhenxing Xu, Dandan Lyu, and Hongyu Shi. 2020. "A Convolutional Neural Network and Matrix Factorization-Based Travel Location Recommendation Method Using Community-Contributed Geotagged Photos" ISPRS International Journal of Geo-Information 9, no. 8: 464. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9080464

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