Results 101 to 110 of about 3,208 (177)
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
Modeling Taxi Drivers' Behaviour for the Next Destination Prediction
, 2019 In this paper, we study how to model taxi drivers' behaviour and geographical information for an interesting and challenging task: the next destination prediction in a taxi journey. Predicting the next location is a well studied problem in human mobility,
Barlacchi, Gianni +3 more
core +1 more source
Identifying opportunity places for urban regeneration through LBSNs
Cities, 2019 The use of location based social networks—LBSNs—for diagnosing phenomena in contemporary cities is evolving at a fast pace. However, methodological frameworks for informing urban regeneration at a fine-grain neighborhood scale through LBSNs is still by and large an unchartered territory, which this research seeks to address.
Pablo Martí +2 more
openaire +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
Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction
, 2018 With the availability of vast amounts of user visitation history on location-based social networks (LBSN), the problem of Point-of-Interest (POI) prediction has been extensively studied.
Maaten L +3 more
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
Digital social interactions in the city: reflecting on location-based social media [PDF]
In this paper we discuss how digital interactions are increasingly interwoven with spaces and places in urban settings and how such interactions are mediated by and in turn shape the technologies that facilitate them.
Avram, Gabriela, Ciolfi, Luigina
core
Smartphones and Location Awareness in Brazil: Users’ Reactions
Paidéia (Ribeirão Preto), 2014 The general objective of this study was to gain detailed information on how Brazilians are using the many features of their smartphones according to their own accounts. Among these features, of particular interest were the ways in which they react to and
Ana Maria Nicolaci-da-Costa +1 more
doaj +1 more source
International Journal of Distributed Sensor Networks, 2014 In this paper, we investigate how user's online behavior (e.g., making friendships) and their offline activity (e.g., check-ins) affected each other by leveraging the data collected from LBSN.
Zhiwen Yu +4 more
doaj +1 more source
A MAS-Based Approach for POI Group Recommendation in LBSN
Practical Applications of Agents and Multi-Agent Systems, 2020 S. Schiaffino +3 more
semanticscholar +1 more source