Results 11 to 20 of about 283 (172)
In recent years, next location prediction has been of paramount importance for a wide range of location-based social network (LBSN) services. The influence of geographical and temporal contextual information (GTCI) is crucial for analyzing individual ...
Fatemeh Ghanaati +2 more
doaj +1 more source
DYNAMIC TRIP ATTRACTION ESTIMATION WITH LOCATION BASED SOCIAL NETWORK DATA BALANCING BETWEEN TIME OF DAY VARIATIONS AND ZONAL DIFFERENCES [PDF]
The emergence of location based social network (LBSN) services make it accessible and affordable to study individuals’ mobility patterns in a fine-grained level.
N. W. Hu, P. J. Jin
doaj +1 more source
UPTDNet: A User Preference Transfer and Drift Network for Cross‐City Next POI Recommendation
Cross‐city point of interest (POI) recommendation for tourists in an unfamiliar city has high application value but is challenging due to the data sparsity. Most existing models attempt to alleviate the sparsity problem by learning the user preference transfer and drift.
Taoru Yang +4 more
wiley +1 more source
Where is the consumer centre? A case of St. Petersburg
Abstract In an urban economy, the distribution of people and real estate prices depends on the location of the central business district of a city. As distance from the city centre increases, both prices and population density diminish, for travel costs increase in terms of time and money. As manufacturing gradually leaves the cities, the importance of
Konstantin Kholodilin +2 more
wiley +1 more source
The aim of this study is to analyze and compare the patterns of behavior of tourists and residents from Location-Based Social Network (LBSN) data in Shanghai, China using various spatiotemporal analysis techniques at different venue categories. The paper
Naimat Ullah Khan, Wanggen Wan, Shui Yu
doaj +1 more source
Abstract Today, millions of active users spend a percentage of their time on location‐based social networks like Yelp and Gowalla and share their rich information. They can easily learn about their friends' behaviors and where they are visiting and be influenced by their style.
Sadaf Safavi, Mehrdad Jalali
wiley +1 more source
A Survey of Studies on Deep Learning Applications in POI Recommendation [PDF]
In Location-Based Social Network(LBSN), users conduct check-ins at selected Point of Interest(POI) to record their trajectories, share feelings with their friends and form social friends.POI recommendation is an important service of LBSN to help users ...
TANG Jiaxin, CHEN Yang, ZHOU Mengying, WANG Xin
doaj +1 more source
A topological model of trajectories with road network space
Abstract Spatiotemporal topological semantic information has attracted a lot of attention recently when exploring high‐level human movement features in geographic contexts. Although topological semantics between a trajectory and individual spatial objects have been studied extensively, few studies have focused on movements in the specific context of ...
Tao Wu +4 more
wiley +1 more source
INTRA-URBAN MOVEMENT FLOW ESTIMATION USING LOCATION BASED SOCIAL NETWORKING DATA [PDF]
In recent years, there has been a rapid growth of location-based social networking services, such as Foursquare and Facebook, which have attracted an increasing number of users and greatly enriched their urban experience.
A. Kheiri, F. Karimipour, M. Forghani
doaj +1 more source
Antioxidants by nature: an ancient feature at the heart of flavonoids' multifunctionality. [PDF]
New Phytologist, Volume 245, Issue 1, Page 11-26, January 2025.
Agati G +6 more
europepmc +2 more sources

