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A context-aware personalized travel recommendation system based on geotagged social media data mining

Abdul Majid, Ling Chen, Gencai Chen, Hamid Turab Mirza, Ibrar Hussain, John Woodward
2013 International Journal of Geographical Information Science  
Context awareness Tourists' preferences in terms of visiting a location or multiple locations in a certain sequence could be affected by their current spatial, temporal, and environmental contexts.  ...  In this article, we focus on context-aware personalized landmark recommendation based on geotagged photos.  ... 
doi:10.1080/13658816.2012.696649 fatcat:4zo5tk4tibc5xlqsnugqsefjva

Mining Context-Aware Significant Travel Sequences from Geotagged Social Media

Abdul Majid, Ling Chen, Hamid Mirza, Ibrar Hussain, Gencai Chen
2021 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
This paper considers the problem of mining context-aware significant semantic travel sequences from geotagged photos.  ...  Geotagged photos of users on social media site, i.e., Flickr provide plentiful location-based data, which has been exploited for location-based services, such as mapping geotags to places and recommendation  ...  This paper considers the problem of mining context-aware significant semantic travel sequences from geotagged photos.  ... 
doi:10.1609/aaai.v26i1.8407 fatcat:gkmq4lw4cvb2pnngacxtaur67u

SoMap

Marie Al-Ghossein, Talel Abdessalem
2016 Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion  
The system further detects mobility patterns by identifying and aggregating trajectories for all the users.  ...  The platform relies on geotagged data extracted from social networks and microblogging applications such as Instagram, Flickr and Twitter and on Points Of Interest gathered from OpenStreetMap.  ...  Location-aware ranking of the posts Each cluster gathers a number of geotagged posts.  ... 
doi:10.1145/2872518.2890550 dblp:conf/www/Al-GhosseinA16 fatcat:uprwg2ac5ban3okodwnwyx5djq

You Can't Smoke Here

Pavel Andreevich Samsonov, Xun Tang, Johannes Schöning, Werner Kuhn, Brent Hecht
2015 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15  
We developed datasets of Flickr images for these three tasks by downloading all geotagged Flickr images that had the terms "no dog", "no fishing", or "no smoking" in their titles, descriptions, and/or  ...  ASSIGNING RULES TO SPATIAL FEATURES The final step of our computer vision-based approach is to assign the SUR in a geotagged photo of a "no-sign" to the correct spatial feature in OSM (e.g. park region  ... 
doi:10.1145/2702123.2702269 dblp:conf/chi/SamsonovTSKH15 fatcat:iynve4ywxvbfvml4ovypu4jclu

Integrating Spatial Technology into Fieldtrips within Elementary Geography Education

Kuo-Hung Huang
2018 GI_FORUM - Journal for Geographic Information Science  
Geography education in schools faces the need to integrate spatial technology with fieldwork.  ...  They were then guided to do fieldwork and mapping of their local area so that they would know how to geotag interesting local spots by themselves.  ...  Geotagging Being easy to do and low-cost, geotagging has the potential to raise spatial awareness, enable basic mobile mapping, and provide basic GIS skills, as well as enhance the quantity of data collected  ... 
doi:10.1553/giscience2018_02_s214 fatcat:oct2yottqneivpy7wt6x7wfl7a

Geotagging with local lexicons to build indexes for textually-specified spatial data

Michael D. Lieberman, Hanan Samet, Jagan Sankaranarayanan
2010 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)  
a document-independent model of the audience's vocabulary of geographic locations, termed its spatial lexicon.  ...  Generic methods for inferring audiences' local lexicons are described.  ...  To break this dependency cycle, we use a geotagging process termed fuzzy geotagging that does not fully resolve toponyms in a single article, instead returning sets of possible interpretations for ambiguous  ... 
doi:10.1109/icde.2010.5447903 dblp:conf/icde/LiebermanSS10 fatcat:bpvstkpwljfi7gmybbwlcujloe

Geotagging Matters? The Interplay of Space and Place in Politicized Online Social Media Networks

Adrian Tear
2020 Zenodo  
Despite providing some valuable geospatial information, coordinate-geotagged interactions offer only an inadequate proxy for tracking the spread of all places, linked content, or (mis)information shared  ...  As Twitter retires its tweet spatialization functionality, new regulatory and technical responses together with a better understanding of place will be required if electoral officials, platform operators  ...  In both political events (see also Figure 2 ) the top two terms usefully, and reasonably evenly, select interactions for the major protagonists in both contests.  ... 
doi:10.5281/zenodo.3628879 fatcat:32v3labfebardnmz3vd6axatb4

Research on event perception based on geo-tagged social media data

Ruoxin Zhu, Chenyu Zuo, Diao Lin
2019 Proceedings of the ICA  
When a notable event occurs, social media serves a popular platform for citizens to share event-related information.  ...  However, widely used social media service provides a unique approach for the event study with individuals as smart sensors.  ...  Situational awareness One of the leading service capabilities of geotagged social media data is situational awareness about the impact of the events.  ... 
doi:10.5194/ica-proc-2-157-2019 fatcat:i2vo6okebvfgjl5xuiid235a3m

Revealing the Global Linguistic and Geographical Disparities of Public Awareness to Covid-19 Outbreak through Social Media [article]

Binbin Lin, Lei Zou, Nick Duffield, Ali Mostafavi, Heng Cai, Bing Zhou, Jian Tao, Mingzheng Yang, Debayan Mandal, Joynal Abedin
2021 arXiv   pre-print
This study yields timely insights into social media use in understanding human behaviors for public health research.  ...  Asian countries showed more significant disparities in awareness than European countries, and awareness in the eastern part of Europe was higher than in central Europe.  ...  perspective for understanding human behaviors in spatial, temporal, contextual, and network dimensions.  ... 
arXiv:2111.03446v3 fatcat:wqirtuc3mvhjfipuehzzr6ikh4

Spatio-Temporal Sentiment Hotspot Detection Using Geotagged Photos [article]

Yi Zhu, Shawn Newsam
2016 arXiv   pre-print
We perform spatial hotspot detection and show that different emotions have distinct spatial distributions that match expectations.  ...  We perform spatio-temporal analysis of public sentiment using geotagged photo collections. We develop a deep learning-based classifier that predicts the emotion conveyed by an image.  ...  CONCLUSIONS We conduct the first investigation into using geotagged social multimedia for spatio-temporal sentiment hotspot detection.  ... 
arXiv:1609.06772v1 fatcat:evvr5c6gkfgrtnpodpevifs2jm

Estimating the Spatial Distribution of Crime Events around a Football Stadium from Georeferenced Tweets

Alina Ristea, Justin Kurland, Bernd Resch, Michael Leitner, Chad Langford
2018 ISPRS International Journal of Geo-Information  
Aggregated hourly crime data and geotagged tweets for the same area around the stadium are analysed using exploratory and inferential methods.  ...  Spatial clustering, spatial statistics, text mining as well as a hurdle negative binomial logistic regression for spatiotemporal explanations are utilized in our analysis.  ...  We would like to express our gratitude to the Austrian Science Fund (FWF) for supporting the project "Urban Emotions", reference number I-3022.  ... 
doi:10.3390/ijgi7020043 fatcat:cwdhzxdx2nc4pc2gavv423qaiq

Where your photo is taken: Geolocation prediction for social images

Bo Liu, Quan Yuan, Gao Cong, Dong Xu
2014 Journal of the Association for Information Science and Technology  
These systems allow users to associate geolocation information to their images, which is essential for many interesting applications such as location-aware image search.  ...  Our analysis shows that the takentime gaps between the image to be geotagged and historical images are very important for geotagging.  ...  Quan Yuan would like to acknowledge the Ph.D. grant from the Institute for Media Innovation, Nanyang Technological University, Singapore.  ... 
doi:10.1002/asi.23050 fatcat:rrshtsr3srb27kq3zg6bbxex6a

Spatial-aware Multimodal Location Estimation for Social Images

Jiewei Cao, Zi Huang, Yang Yang
2015 Proceedings of the 23rd ACM international conference on Multimedia - MM '15  
However, most social images still lack the location information, driving location estimation for social images to have recently become an active research topic.  ...  They further improve the classification accuracy by spatial-aware terms selection [19] which reduces the negative impact of noisy tags by detecting the most location-indicative tags from the whole corpus  ...  A vital step for these approaches is to extract spatial-aware terms [19] that are most indicative of geographic locations from a given text collection.  ... 
doi:10.1145/2733373.2806249 dblp:conf/mm/CaoHY15 fatcat:pjp5reroofahbazlfkdh3zg33y

sj-pdf-1-cps-10.1177_0010414021989762 – Supplemental material for Political Self-Censorship in Authoritarian States: The Spatial-Temporal Dimension of Trouble

Charles Chang, Melanie Manion
2021 Figshare  
Supplemental material, sj-pdf-1-cps-10.1177_0010414021989762 for Political Self-Censorship in Authoritarian States: The Spatial-Temporal Dimension of Trouble by Charles Chang and Melanie Manion in Comparative  ...  Moreover, 39 percent of these geotag-aware microbloggers report they have disabled geotagging in at least some posts.  ...  If the use of geotagging itself is a result of political self-censorship, it would introduce a selection bias to our hypothesis testing.  ... 
doi:10.25384/sage.13646444.v1 fatcat:u4wxqa2pknf5jb3hmg2pkfoewi

A Socially Aware Huff Model for Destination Choice in Nature-based Tourism

Meilin Shi, Krzysztof Janowicz, Ling Cai, Gengchen Mai, Rui Zhu
2021 AGILE: GIScience Series  
In addition, we explore the significance of each factor and summarize the spatial-temporal travel pattern for each attraction.  ...  Therefore, in this paper, we propose a socially aware Huff model to account for this social factor in the study of destination choice.  ...  spatial and temporal variability of model parameters that are associated with attractiveness, distance, and neighboring effect in the socially aware Huff model.  ... 
doi:10.5194/agile-giss-2-14-2021 fatcat:a3rn3vjluvfdbnmbk3wnz6hfgm
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