[HTML][HTML] Untap** the potential of mobile location data: The opportunities and challenges for retail analytics

J Aversa, A Azmy, T Hernandez - Journal of Retailing and Consumer …, 2024 - Elsevier
Smartphone technology has created a burgeoning mobile location data (MLD) marketplace.
MLD has been adopted by many retailers to track consumer behaviours at a granular level …

Tourists' digital footprint in cities: Comparing Big Data sources

MH Salas-Olmedo, B Moya-Gómez… - Tourism …, 2018 - Elsevier
There is little knowledge available on the spatial behaviour of urban tourists, and yet tourists
generate an enormous quantity of data when they visit cities. These data sources can be …

Crowdsourcing based description of urban emergency events using social media big data

Z Xu, Y Liu, NY Yen, L Mei, X Luo… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Crowdsourcing is a process of acquisition, integration, and analysis of big and
heterogeneous data generated by a diversity of sources in urban spaces, such as sensors …

Harvesting multiple sources for user profile learning: a big data study

A Farseev, L Nie, M Akbari, TS Chua - Proceedings of the 5th ACM on …, 2015 - dl.acm.org
User profile learning, such as mobility and demographic profile learning, is of great
importance to various applications. Meanwhile, the rapid growth of multiple social platforms …

Building knowledge base of urban emergency events based on crowdsourcing of social media

Z Xu, H Zhang, C Hu, L Mei, J Xuan… - Concurrency and …, 2016 - Wiley Online Library
An emergency event is an unexceptional event that exceeds the capacity of normal
resources and organization to cope and a situation that poses an immediate risk to health …

CoRe: Exploiting the personalized influence of two-dimensional geographic coordinates for location recommendations

JD Zhang, CY Chow - Information Sciences, 2015 - Elsevier
With the rapid growth of location-based social networks (LBSNs), location recommendations
play an important role in sha** the life of individuals. Fortunately, a variety of community …

Cross-domain recommendation via clustering on multi-layer graphs

A Farseev, I Samborskii, A Filchenkov… - Proceedings of the 40th …, 2017 - dl.acm.org
Venue category recommendation is an essential application for the tourism and
advertisement industries, wherein it may suggest attractive localities within close proximity to …

Sco** out urban areas of tourist interest though geolocated social media data: Bucharest as a case study

A Nolasco-Cirugeda, C García-Mayor, C Lupu… - … Technology & Tourism, 2022 - Springer
Social media data has frequently sourced research on topics such as traveller planning or
the factors that influence travel decisions. The literature on the location of tourist activities …

Evaluating trade areas using social media data with a calibrated huff model

Y Wang, W Jiang, S Liu, X Ye, T Wang - ISPRS International Journal of …, 2016 - mdpi.com
Delimitating trade areas is a major business concern. Today, mobile communication
technologies make it possible to use social media data for this purpose. Few studies …

Building the multi-modal storytelling of urban emergency events based on crowdsensing of social media analytics

Z Xu, Y Liu, H Zhang, X Luo, L Mei, C Hu - Mobile Networks and …, 2017 - Springer
With the development of Web 2.0, ubiquitous computing, and corresponding technologies,
social media has the ability to provide the concepts of information contribution, diffusion, and …