Results 91 to 100 of about 3,208 (177)
Crime event prediction with dynamic features
EPJ Data Science, 2018 Nowadays, Location-Based Social Networks (LBSN) collect a vast range of information which can help us to understand the regional dynamics (i.e. human mobility) across an entire city.
Shakila Khan Rumi +2 more
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Socio-Spatial Group Queries for Impromptu Activity Planning
, 2015 The development and integration of social networking services and smartphones have made it easy for individuals to organize impromptu social activities anywhere and anytime. Main challenges arising in organizing impromptu activities are mostly due to the
Chen, Ming-Syan +4 more
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Interest Aware Location-Based Recommender System Using Geo-Tagged Social Media
ISPRS International Journal of Geo-Information, 2016 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
doaj +1 more source
A Survey of Location Prediction on Twitter
, 2018 Locations, e.g., countries, states, cities, and point-of-interests, are central to news, emergency events, and people's daily lives. Automatic identification of locations associated with or mentioned in documents has been explored for decades.
Han, Jialong, Sun, Aixin, Zheng, Xin
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ISPRS International Journal of Geo-Information, 2020 The information of land use plays an important role in urban planning and optimizing the allocation of resources. However, traditional land use classification is imprecise. For instance, the type of commercial land is highly filled with the categories of
Xucai Zhang +3 more
doaj +1 more source
Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks
, 2018 Identifying influential nodes that can jointly trigger the maximum influence spread in networks is a fundamental problem in many applications such as viral marketing, online advertising, and disease control.
Lui, John C. S. +4 more
core +1 more source
Friend Link Prediction Method Based on Heterogeneous Multigraph and Hierarchical Attention
Applied Artificial IntelligenceWith the rapid growth of location-based social network (LBSN), rich data comprising social behaviors and location information among users has emerged.
Aoxue Liu +3 more
doaj +1 more source
Mining Location Influence for Location Promotion in Location-Based Social Networks
IEEE Access, 2018 With the extensive application and in-depth study of location-based social networks (LBSNs), more and more businesses are utilizing the new social platform to promote their products and services.
Fei Yu, Shouxu Jiang
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, 2014 Food and drink are two of the most basic needs of human beings. However, as society evolved, food and drink became also a strong cultural aspect, being able to describe strong differences among people.
Almeida, Jussara +4 more
core +1 more source
Exploring Geographic Information Effects for POI Recommendation in LBSNs
Journal of Physics: Conference Series, 2020 Abstract With the rapid development of global positioning technology, location-based social networks (LBSNs) have emerged. Massive check-in data provides development possibilities for mining user behavior preferences, and also brings a variety of location-based social services.
Shuang Liu +2 more
openaire +1 more source