Results 71 to 80 of about 3,208 (177)
Frontiers in Neurorobotics, 2021 With the rapid development of social network, intelligent terminal and automatic positioning technology, location-based social network (LBSN) service has become an important and valuable application. Point of interest (POI) recommendation is an important
Desheng Liu +5 more
doaj +1 more source
Everyday life and locative play: an exploration of Foursquare and playful engagements with space and place [PDF]
, 2016 Foursquare is a location-based social network (LBSN) that combines gaming elements with features conventionally associated with social networking sites (SNSs).
Apter M +20 more
core +3 more sources
Modelling User Preferences using Word Embeddings for Context-Aware Venue Recommendation [PDF]
, 2016 Venue recommendation aims to assist users by making personalised suggestions of venues to visit, building upon data available from location-based social networks (LBSNs) such as Foursquare.
Macdonald, Craig +2 more
core +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
The Playeur and Pokémon Go: Examining the effects of locative play on spatiality and sociability [PDF]
, 2018 Pokémon Go is a hugely popular hybrid reality game (HRG) that enables players to occupy a space that is simultaneously physical and digital. The general aim of Pokémon Go is to discover and then capture Pokémon.
Evans, L., Saker, M.
core +2 more sources
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
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
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
Location Prediction: Communities Speak Louder than Friends [PDF]
, 2015 Humans are social animals, they interact with different communities of friends to conduct different activities. The literature shows that human mobility is constrained by their social relations. In this paper, we investigate the social impact of a person'
Pang, Jun, Zhang, Yang
core +3 more sources