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 …

Location-based and preference-aware recommendation using sparse geo-social networking data

J Bao, Y Zheng, MF Mokbel - … of the 20th international conference on …, 2012 - dl.acm.org
The popularity of location-based social networks provide us with a new platform to
understand users' preferences based on their location histories. In this paper, we present a …

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 …

Lcars: a location-content-aware recommender system

H Yin, Y Sun, B Cui, Z Hu, L Chen - Proceedings of the 19th ACM …, 2013 - dl.acm.org
Newly emerging location-based and event-based social network services provide us with a
new platform to understand users' preferences based on their activity history. A user can …

Location recommendation in location-based social networks using user check-in data

H Wang, M Terrovitis, N Mamoulis - Proceedings of the 21st ACM …, 2013 - dl.acm.org
This paper studies the problem of recommending new venues to users who participate in
location-based social networks (LBSNs). As an increasingly larger number of users partake …

LCARS: A spatial item recommender system

H Yin, B Cui, Y Sun, Z Hu, L Chen - ACM Transactions on Information …, 2014 - dl.acm.org
Newly emerging location-based and event-based social network services provide us with a
new platform to understand users' preferences based on their activity history. A user can …

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

A Majid, L Chen, G Chen, HT Mirza… - International Journal …, 2013 - Taylor & Francis
The proliferation of digital cameras and the growing practice of online photo sharing using
social media sites such as Flickr have resulted in huge volumes of geotagged photos …

Location recommendation for out-of-town users in location-based social networks

G Ference, M Ye, WC Lee - Proceedings of the 22nd ACM international …, 2013 - dl.acm.org
Most previous research on location recommendation services in location-based social
networks (LBSNs) makes recommendations without considering where the targeted user is …

Location recommendation for location-based social networks

M Ye, P Yin, WC Lee - … of the 18th SIGSPATIAL international conference …, 2010 - dl.acm.org
In this paper, we study the research issues in realizing location recommendation services for
large-scale location-based social networks, by exploiting the social and geographical …

Personalized trip recommendation with poi availability and uncertain traveling time

C Zhang, H Liang, K Wang, J Sun - … of the 24th ACM International on …, 2015 - dl.acm.org
As location-based social network (LBSN) services become increasingly popular, trip
recommendation that recommends a sequence of points of interest (POIs) to visit for a user …