Next Article in Journal
Analysis of Differences in the Spatial Distribution among Terrestrial Mammals Using Geodetector—A Case Study of China
Next Article in Special Issue
Incorporating Memory-Based Preferences and Point-of-Interest Stickiness into Recommendations in Location-Based Social Networks
Previous Article in Journal
Determining Cover Management Factor with Remote Sensing and Spatial Analysis for Improving Long-Term Soil Loss Estimation in Watersheds
Previous Article in Special Issue
Understanding Individual Mobility Pattern and Portrait Depiction Based on Mobile Phone Data
 
Search for Articles:
Title / Keyword
Author / Affiliation
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
Journals
IJGI
Volume 10
Issue 1
10.3390/ijgi10010020
ijgi-logo
Submit to this Journal Review for this Journal Edit a Special Issue
► Article Menu

Article Menu

share announcement question_answer thumb_up
...
textsms
...
Article

A Tourist Attraction Recommendation Model Fusing Spatial, Temporal, and Visual Embeddings for Flickr-Geotagged Photos

by
Shanshan Han
1,
Cuiming Liu
1,
Keyun Chen
1,
Dawei Gui
2,* and
Qingyun Du
3,4,5,6
1
Nansha Branch, Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou 510060, China
2
Geographic Information Center, Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou 510060, China
3
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
4
Key Laboratory of Geographic Information Systems, Ministry of Education, Wuhan University, Wuhan 430079, China
5
Key Laboratory of Digital Mapping and Land Information Application Engineering, National Administration of Surveying, Mapping and Geoinformation, Wuhan University, Wuhan 430079, China
6
Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2021, 10(1), 20; https://doi.org/10.3390/ijgi10010020
Received: 13 November 2020 / Revised: 16 December 2020 / Accepted: 2 January 2021 / Published: 8 January 2021
(This article belongs to the Special Issue Geovisualization and Social Media)
View Full-Text Download PDF
Browse Figures

Abstract

The rapid development of social media data, including geotagged photos, has benefited the research of tourism geography; additionally, tourists’ increasing demand for personalized travel has encouraged more researchers to pay attention to tourism recommendation models. However, few studies have comprehensively considered the content and contextual information that may influence the recommendation accuracy, especially tourist attractions’ visual content due to redundant and noisy geotagged photos; therefore, we propose a tourist attraction recommendation model for Flickr-geotagged photos which fuses spatial, temporal, and visual embeddings (STVE). After spatial clustering and extracting visual embeddings of tourist attractions’ representative images, the spatial and temporal embeddings are modeled with the Word2Vec negative sampling strategy, and the visual embeddings are fused with Matrix Factorization and Bayesian Personalized Ranking. The combination of these two parts comprises our proposed STVE model. The experimental results demonstrate that our STVE model outperforms other baseline models. We also analyzed the parameter sensitivity and component performance to prove the performance superiority of our model. View Full-Text
Keywords: tourist attractions; geotagged photos; matrix factorization; Word2Vec; visual content tourist attractions; geotagged photos; matrix factorization; Word2Vec; visual content
►▼ Show Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
SciFeed

Share and Cite

MDPI and ACS Style

Han, S.; Liu, C.; Chen, K.; Gui, D.; Du, Q. A Tourist Attraction Recommendation Model Fusing Spatial, Temporal, and Visual Embeddings for Flickr-Geotagged Photos. ISPRS Int. J. Geo-Inf. 2021, 10, 20. https://doi.org/10.3390/ijgi10010020

AMA Style

Han S, Liu C, Chen K, Gui D, Du Q. A Tourist Attraction Recommendation Model Fusing Spatial, Temporal, and Visual Embeddings for Flickr-Geotagged Photos. ISPRS International Journal of Geo-Information. 2021; 10(1):20. https://doi.org/10.3390/ijgi10010020

Chicago/Turabian Style

Han, Shanshan, Cuiming Liu, Keyun Chen, Dawei Gui, and Qingyun Du. 2021. "A Tourist Attraction Recommendation Model Fusing Spatial, Temporal, and Visual Embeddings for Flickr-Geotagged Photos" ISPRS International Journal of Geo-Information 10, no. 1: 20. https://doi.org/10.3390/ijgi10010020

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Map by Country/Region

1
Back to TopTop