Results 61 to 70 of about 817 (198)
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
openaire +1 more source
Unfolding the interplay of self-identity and expressions of territoriality in location-based social networks [PDF]
, 2017 Self-identity in mobile location-based social networks (LBSN) is a relatively underexplored topic. In this paper, we present our initial understandings on the role that LBSN play in the self-identity of its users and introduce a relationship between self-
Chamberlain, A. +23 more
core +1 more source
Performing the Digital Self: Understanding Location-Based Social Networking, Territory, Space, and Identity in the City [PDF]
, 2020 Expressions of territoriality have been positioned as one of the main reasons users alter their behaviors and perceptions of spatiality and sociality while engaging with location-based social networks (LBSN).
Khan, Vassilis-Javed +7 more
core +4 more sources
A Paradigm of Temporal‐Weather‐Aware Transition Pattern for POI Recommendation
CAAI Transactions on Intelligence Technology, Volume 10, Issue 6, Page 1675-1687, December 2025.ABSTRACT Point of interest (POI) recommendation analyses user preferences through historical check‐in data. However, existing POI recommendation methods often overlook the influence of weather information and face the challenge of sparse historical data for individual users.
Junyang Chen +6 more
wiley +1 more source
Next POI Recommendation via Graph Embedding Representation From H-Deepwalk on Hybrid Network
IEEE Access, 2019 With the rapid development of location-based social networks (LBSNs), point of interest (POI) recommendation has become more and more popular personalized service.
Kang Yang, Jinghua Zhu
doaj +1 more source
Joint Promotion Partner Recommendation Systems Using Data from Location-Based Social Networks
ISPRS International Journal of Geo-Information, 2021 Joint promotion is a valuable business strategy that enables companies to attract more customers at lower operational cost. However, finding a suitable partner can be extremely difficult.
Yi-Chung Chen +3 more
doaj +1 more source
A Potential Friends Recommendation Model for Location-Based Social Network
Dianxin kexue, 2014 To make service convenient and improve user experience degrees, recommendation service has become more and more important to users in the location-based social network（LBSN）.
Xiaochen Sun, Yabin Xu
doaj +2 more sources
An Automatic User Grouping Model for a Group Recommender System in Location-Based Social Networks
ISPRS International Journal of Geo-Information, 2018 Spatial group recommendation refers to suggesting places to a given set of users. In a group recommender system, members of a group should have similar preferences in order to increase the level of satisfaction.
Elahe Khazaei, Abbas Alimohammadi
doaj +1 more source
ISPRS International Journal of Geo-Information, 2020 The main purpose of this research is to study the effect of various types of venues on the density distribution of residents and model check-in data from a Location-Based Social Network for the city of Shanghai, China by using combination of multiple ...
Naimat Ullah Khan +5 more
doaj +1 more source
IEEE Access, 2020 The location-based social network (LBSN) contains a large amount of user check-in data informations, in order to better improve the recommendation performance and avoid the impact of user check-in data sparsity.
Juan Li, Xiaofeng Wang, Wanjing Feng
doaj +1 more source