Group-wise itinerary planning in temporary mobile social network

Y Yin, J Xia, Y Li, W Xu, L Yu - IEEE Access, 2019 - ieeexplore.ieee.org
Temporary mobile social networks has been used at hotels, concerts, theme parks, and
sports arenas, where people form a mobile social group for a short time with a common …

Personalized itinerary recommendation with time constraints using GPS datasets

YL Hsueh, HM Huang - Knowledge and information systems, 2019 - Springer
Planning a personalized itinerary for an unfamiliar region requires much effort to design
desirable travel plans. With the rapid development of location-based social network (LBSN) …

Recommending travel packages based on mobile crowdsourced data

Z Yu, Y Feng, H Xu, X Zhou - IEEE Communications Magazine, 2014 - ieeexplore.ieee.org
Mobile crowdsoured data from location based social network services (LBSNs) provide
information on individual's preferences for locations. In this article, we propose a travel …

Socio-spatial group queries for impromptu activity planning

CY Shen, DN Yang, LH Huang… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The development and integration of social networking services and smartphones have
made it easy for individuals to organize impromptu social activities anywhere and anytime …

TripPlanner: Personalized trip planning leveraging heterogeneous crowdsourced digital footprints

C Chen, D Zhang, B Guo, X Ma… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Planning an itinerary before traveling to a city is one of the most important travel preparation
activities. In this paper, we propose a novel framework called TripPlanner, leveraging a …

Preference aware travel route recommendation with temporal influence

M Debnath, PK Tripathi, AK Biswas… - Proceedings of the 2nd …, 2018 - dl.acm.org
There have been vast advances and rapid growth in Location based social networking
(LBSN) services in recent years. Travel route recommendation is one of the most important …

Tour recommendations by mining photo sharing social media

CY Sun, AJT Lee - Decision Support Systems, 2017 - Elsevier
With the increasing popularity of photo and video sharing social networks, more and more
people have shared their photos or videos with their family members and friends. Therefore …

Tourist activity analysis by leveraging mobile social media data

HQ Vu, G Li, R Law, Y Zhang - Journal of travel research, 2018 - journals.sagepub.com
Approaches to traditional travel diary construction rely on tourist participation and manual
recording; hence, they are not only time-consuming but also limited in the scale and the …

Personalized travel route recommendation from multi-source social media data

G Hu, Y Qin, J Shao - Multimedia Tools and Applications, 2020 - Springer
Personalized travel route recommendation aims to recommend tourist attractions based on
user's interest and generate routes which can be viewed as a recommendation and …

Personalized travel package with multi-point-of-interest recommendation based on crowdsourced user footprints

Z Yu, H Xu, Z Yang, B Guo - IEEE Transactions on Human …, 2015 - ieeexplore.ieee.org
Location-based social networks (LBSNs) provide people with an interface to share their
locations and write reviews about interesting places of attraction. The shared locations form …