Results 31 to 40 of about 122,063 (260)
Submodular Optimization in Location-Based Social Networks
In recent years, with the increasing popularity and growth of social networks and mobile devices, the research on location-based social networks (LBSN) has attracted a lot of attention. As an important research topic in LBSN, submodular optimization in location-based social networks (SO-LBSN) has been considered by many studies, because it is useful in
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A Joint Deep Recommendation Framework for Location-Based Social Networks
Location-based social networks, such as Yelp and Tripadvisor, which allow users to share experiences about visited locations with their friends, have gained increasing popularity in recent years.
Omer Tal, Yang Liu
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Interest Aware Location-Based Recommender System Using Geo-Tagged Social Media
Advances in location acquisition and mobile technologies led to the addition of the location dimension to Social Networks (SNs) and to the emergence of a newer class called Location-Based Social Networks (LBSNs). While LBSNs are richer in their model and
Basma AlBanna +3 more
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Exploiting Two-Dimensional Geographical and Synthetic Social Influences for Location Recommendation
With the rapid development of location-based social networks (LBSNs), because human behaviors exhibit specific distribution patterns, personalized geo-social recommendation has played a significant role for LBSNs.
Jiping Liu +4 more
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On Neighborhood Effects in Location-Based Social Networks
In this paper, we analyze factors that determine the check-in decisions of users on venues using a location-based social network dataset. Based on a Foursquare dataset constructed from Singapore-based users, we devise a stringent criteria to identify the actual home locations of a subset of users.
Thanh-Nam Doan +2 more
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Finding Geo-Social Cohorts in Location-Based Social Networks
Given a record of geo-tagged activities, how can we suggest groups, or cohorts of likely companions? A brute-force approach is to perform a spatio-temporal join over past activity traces to find groups of users recorded as moving together; yet such an approach is inherently unscalable.
Muhammad Aamir Saleem +3 more
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Location prediction in location-based social networks
Developments in mobile devices and wireless networks have led to the increasing popularity of location-based socialnetworks. These networks allow users to explore new places , share their location, videos and photos and make friends. They give information about the mobility of users, which can be used to improve the networks.
Baydar, Mücahit, ALBAYRAK, Songül
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ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
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ABSTRACT Background Acute lymphoblastic leukaemia (ALL) is one of the most treatable forms of paediatric cancer; however, there is a substantial burden of treatment‐related toxicities (TRTs). In addition, the long‐term changes in children's health‐related quality of life (HRQoL) due to toxic treatments are not well understood.
Clare Ghows +19 more
wiley +1 more source
Location-Based Social Networking Data [PDF]
Trip distribution is an invaluable portion of the transportation planning process; this distribution leads to the creation of origin–destination (O-D) matrices. Location-based social networking (LBSN) has increased in popularity and sophistication and has emerged as a new travel demand data source.
Peter J. Jin +5 more
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