Results 81 to 90 of about 687 (209)
POI recommendation by incorporating trust-distrust relationship in LBSN
Tongxin xuebao, 2018 POI (point of interest) recommendation is an important personalized service in the LBSN (location-based social network) which has wide applications such as popular sights recommendation and travel routes planning.Most existing collaborative filter ...
Jinghua ZHU, Qian MING
doaj +2 more sources
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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Location-Based Social Networking (LBSN) allows users to confirm their current locations and trip purposes by “checking in” with places of interests (“venues”) registered at the LBSN Websites.
Bin Ran +4 more
core +1 more source
Public movement analysis using location based social network data [PDF]
, 2020 © 2020 Don Lashantha Sameera KannangaraLocation Based Social Networks (LBSNs) provide an inexpensive source of data to analyse public movement. However, it is difficult to process LBSN to get useful information due to the sparsity and irregularity ...
Kannangara, Don Lashantha Sameera
core
Spectral clustering and embedding-enhanced POI recommendation in location-based social network
Tongxin xuebao, 2020 In order to effectively capture the spatial characteristics of multi-dimensional context information in LBSN,and deeply explore the non-linear interaction between users and POIs,a spectral embedding enhanced POI recommendation algorithm,namely PSC-SMLP ...
Zhen LIU +3 more
doaj +2 more sources
Discovering Memory-Based Preferences for POI Recommendation in Location-Based Social Networks
ISPRS International Journal of Geo-Information, 2019 Point-of-interest (POI) recommendations in location-based social networks (LBSNs) allow online users to discover various POIs for social activities occurring in the near future close to their current locations.
Mingxin Gan, Ling Gao
doaj +1 more source
, 2019 The emergence of Transportation Big Data provides rich information for estimating and predicting urban travel demand patterns. The traditional travel demand sensors involve labor-intensive survey data, traffic detector data for assignment model ...
core +1 more source
The canary in the city: indicator groups as predictors of local rent increases
EPJ Data Science, 2018 As cities grow, certain neighborhoods experience a particularly high demand for housing, resulting in escalating rents. Despite far-reaching socioeconomic consequences, it remains difficult to predict when and where urban neighborhoods will face such ...
Aike A. Steentoft +3 more
doaj +1 more source
Personalized Recommendation of Tourist Attractions based on LBSN
DEStech Transactions on Computer Science and Engineering, 2018 Photos metadata in Location-Based Social Networks (LBSN) contain rich time and space information, these metadata provide the basis for the research of personalized recommendation of tourist attractions. The existing methods have many problems such as low accuracy of recommendation and single type of attractions recommendation.
Huifang Lv +4 more
openaire +2 more sources