Results 41 to 50 of about 228 (183)
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
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ISPRS International Journal of Geo-Information, 2019 Location-Based Social Networks (LBSNs) contain rich information that can be used to identify and annotate points of interest (POIs). Discovering these POIs and annotating them with this information is not only helpful for understanding the social ...
Zhiqiang Zou, Xu He, A-Xing Zhu
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Hybrid Model for Point-of-Interests Recommendation Based on Time Effect [PDF]
Jisuanji gongcheng, 2019 In Location-Based Social Networks(LBSNs),real-time recommendation data of Point-of-Interests(POIs) and check-in data of users are highly sparse.Therefore,a hybrid recommendation model based on time effect is proposed.Through the data model of potential ...
ZHANG Qishan, LI Ke, LIN Xiaorong
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Semantic analysis of spatial temporal trajectory in LBSNs [PDF]
SCIENTIA SINICA Informationis, 2017 Spatial temporal data has associated multidimensional features. Deep learning has attracted much attention due to its ability to perform high-level abstraction of complex data. In this paper, we give the definition of the track-data based on its characteristics, and build a spatial temporal semantic trajectory model using Word2vec as its foundation. We
Haoteng YIN, Yang LIU
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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 ...
Nolasco-Cirugeda, Almudena +1 more
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Information, 2017 Point-of-interest (POI) recommendation has been well studied in recent years. However, most of the existing methods focus on the recommendation scenarios where users can provide explicit feedback. In most cases, however, the feedback is not explicit, but
Lei Guo +3 more
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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
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Loc2Vec-Based Cluster-Level Transition Behavior Mining for Successive POI Recommendation
IEEE Access, 2019 Point of interest (POI) recommendation is a significant task in location-based social networks (LBSNs) as it can help to suggest new locations and makes LBSNs more prevalent to users. Successive POI recommendation is a nature extension of the general POI
Yan Wen +4 more
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Geo-spatial Information Science, 2018 The social functionality of places (e.g. school, restaurant) partly determines human behaviors and reflects a region’s functional configuration. Semantic descriptions of places are thus valuable to a range of studies of humans and geographic spaces ...
Ming Li, Rene Westerholt, Alexander Zipf
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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
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