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ISPRS International Journal of Geo-Information, 2020 Location-based social networks (LBSNs) have rapidly prevailed in China with the increase in smart devices use, which has provided a wide range of opportunities to analyze urban behavior in terms of the use of LBSNs.
Muhammad Rizwan +2 more
exaly +4 more sources
Social dynamics in cities: analysis through LBSN data
Procedia Computer Science, 2022 Location-Based Social Networks data —LBSN data— reveal, in essence, user preferences and patterns of use of urban space. This information plays a key role in research on social dynamics in cities. Today, social network applications are widely available and this digital data represents a complementary and inescapable source of data for the analysis of ...
Almudena Nolasco-Cirugeda +1 more
exaly +4 more sources
Points-of-Interest Recommendation Algorithm Based on LBSN in Edge Computing Environment
IEEE Access, 2020 With the advancement of the Internet of Everything era and the popularity of mobile devices, Location-based Social Networks (LBSN) have penetrated people's lives.
Keyan Cao, Yefan Liu
exaly +4 more sources
POI recommendation method using LSTM-attention in LBSN considering privacy protection
Complex & Intelligent Systems, 2021 Aiming at the problems of traditional point of interest (POI), such as sparse data, lack of negative feedback, and dynamic and periodic changes of user preferences, a POI recommendation method using deep learning in location-based social networks (LBSN ...
Kun Wang, Xiaofeng Wang, Xuan Lu
exaly +3 more sources
IIMB Management Review, 2016 Recommender systems play an important role in our day-to-day life. A recommender system automatically suggests an item to a user that he/she might be interested in.
Murale Narayanan, Aswani Kumar Cherukuri
exaly +4 more sources
Locative Media and Identity [PDF]
SAGE Open, 2016 The role of location-based social networks (LBSNs) on identity is a relatively unexplored area within the growing cannon of work on locative media. Following an exegesis of Giddens’s argument that narrative biographical accounts are critical in self ...
Michael Saker, Leighton Evans
doaj +4 more sources
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 +3 more sources
Time Aware Point-of-interest Recommendation [PDF]
Jisuanji kexue, 2021 In location-based social networks (LBSN),users share their location and content related to location information.Point-of-interest (POI) recommendation is an important application in LBSN which recommends locations that might be of interest to users ...
WANG Ying-li, JIANG Cong-cong, FENG Xiao-nian, QIAN Tie-yun
doaj +1 more source
ISPRS International Journal of Geo-Information, 2023 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]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 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