Results 71 to 80 of about 817 (198)
Privacy Preserving POI Recommendation Algorithm Based on LSH [PDF]
Jisuanji gongcheng, 2019 The Location-Based Social Network(LBSN) uses the user’s check-in data to recommend the Point of Interest (POI),but for the consideration of data privacy,various social platforms are unwilling to share data directly.In order to provide a better POI ...
SHEN Xindi,ZHAI Dongjun,ZHANG Detian,LIU An
doaj +1 more source
The Geography of Social Media Data in Urban Areas: Representativeness and Complementarity
ISPRS International Journal of Geo-Information, 2021 This research sheds light on the relationship between the presence of location-based social network (LBSN) data and other economic and demographic variables in the city of Valencia (Spain). For that purpose, a comparison is made between location patterns
Álvaro Bernabeu-Bautista +3 more
doaj +1 more source
Genetic Location-Based Social Networks (G-LBSN)
, 2020 Despite much advances in both general and targeted Social Network Services (SNS) and Location-Based Social Networks (LBSN), there is currently a void in literatures on SNS that form temporary social networks to address specific problems and employ ...
Hassan A Karimi
core
Geographically Insensitive Spatial-Temporal POI Recommendation Based on Heterogeneous Graph Embedding [PDF]
Jisuanji kexue yu tansuoThe increasingly large scale of location-based social networks (LBSN) promotes the rapid development of point-of-interest (POI) recommendation business.
LI Manwen, ZHANG Yueqin, ZHANG Chenwei, ZHANG Zehua
doaj +1 more source
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
doaj +1 more source
Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach [PDF]
The World Wide Web Conference, 2019 Location Based Social Networks (LBSNs) have been widely used as a primary data source to study the impact of mobility and social relationships on each other. Traditional approaches manually define features to characterize users' mobility homophily and social proximity, and show that mobility and social features can help friendship and location ...
Dingqi Yang +3 more
openaire +3 more sources
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
Ensemble mobility predictor based on random forest and Markovian property using LBSN data
Journal of Internet Services and Applications, 2020 The ubiquitous connectivity of Location-Based Systems (LBS) allows people to share individual location-related data anytime. In this sense, Location-Based Social Networks (LBSN) provides valuable information to be available in large-scale and low-cost ...
Felipe Araújo +5 more
doaj +1 more source
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
, 2010 Location based social networking (LBSN) applications are part of a new suite of emerging social networking tools that run on the Web 2.0 platform. LBSN is the convergence between location based services (LBS) and online social networking (OSN).
Roba Abbas (19584349) +3 more
core +1 more source