Mobile crowd sensing–taxonomy, applications, challenges, and solutions

DE Boubiche, M Imran, A Maqsood… - Computers in Human …, 2019 - Elsevier
Recently, mobile crowd sensing (MCS) is captivating growing attention because of their
suitability for enormous range of new types of context-aware applications and services. This …

Linked open data in location-based recommendation system on tourism domain: A survey

P Yochum, L Chang, T Gu, M Zhu - IEEE Access, 2020 - ieeexplore.ieee.org
Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …

Recommendation rules to personalize itineraries for tourists in an unfamiliar city

I Gasmi, M Soui, K Barhoumi, M Abed - Applied Soft Computing, 2024 - Elsevier
Currently, tourism has become increasingly related to new technologies. In this context,
itinerary planning and trip recommendation are challenging tasks for tourists with different …

A survey and experimental study on privacy-preserving trajectory data publishing

F Jin, W Hua, M Francia, P Chao… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
Trajectory data has become ubiquitous nowadays, which can benefit various real-world
applications such as traffic management and location-based services. However, trajectories …

Social itinerary recommendation from user-generated digital trails

H Yoon, Y Zheng, X Xie, W Woo - Personal and Ubiquitous Computing, 2012 - Springer
Planning travel to unfamiliar regions is a difficult task for novice travelers. The burden can be
eased if the resident of the area offers to help. In this paper, we propose a social itinerary …

Content-aware collaborative filtering for location recommendation based on human mobility data

D Lian, Y Ge, F Zhang, NJ Yuan, X Xie… - … conference on data …, 2015 - ieeexplore.ieee.org
Location recommendation plays an essential role in helping people find places they are
likely to enjoy. Though some recent research has studied how to recommend locations with …

iGeoRec: A personalized and efficient geographical location recommendation framework

JD Zhang, CY Chow, Y Li - IEEE Transactions on Services …, 2014 - ieeexplore.ieee.org
Geographical influence has been intensively exploited for location recommendations in
location-based social networks (LBSNs) due to the fact that geographical proximity …

A survey on next location prediction techniques, applications, and challenges

AG Chekol, MS Fufa - EURASIP Journal on Wireless Communications and …, 2022 - Springer
Next location prediction has recently gained great attention from researchers due to its
importance in different application areas. Recent growth of location-based service …

A personalised travel recommender system utilising social network profile and accurate GPS data

R Logesh, V Subramaniyaswamy… - Electronic …, 2018 - inderscienceonline.com
Recent developments in internet technologies have created a massive demand for online
services with the rapidly growing users. Travel recommender systems have been embraced …

A general framework for geo-social query processing

N Armenatzoglou, S Papadopoulos… - Proceedings of the VLDB …, 2013 - dl.acm.org
The proliferation of GPS-enabledmobile devises and the popularity of social networking
have recently led to the rapid growth of Geo-Social Networks (GeoSNs). GeoSNs have …