LIDU : Location-based approach to IDentify similar interests between Users in social networks
type: Dataset
description: Sharing of user data has substantially increased over the past few years facilitated by sophisticated Web and mobile applications, including social networks. For instance, users can easily register their trajectories over time based on their daily trips captured with GPS receivers as well as share and relate them with trajectories of other users. Analyzing user trajectories over time can reveal habits and preferences. This information can be used to recommend content to single users or to group users together based on similar trajectories and/or preferences. Recording GPS tracks generates very large amounts of data. Therefore clustering algorithms are required to efficiently analyze such data. In this thesis, we focus on investigating ways of efficiently analyzing user trajectories, extracting user preferences from them and identifying similar interests between users. We demonstrate an algorithm for clustering user GPS trajectories. In addition, we propose an algorithm to correlate trajectories based on near points between two or more users. The final results provided interesting avenues for exploring Location-based Social Network (LBSN) applications.
identifier: NNT: 2012GRENM055
issued: 2026-05-15T12:07:48.477492
language: fr
modified: 2026-05-15T12:07:48.477498
contact point: Organization
  fn: CCSD
keyword: data-mining
keyword: geographic-information-systems
keyword: infoeu-reposemanticsdoctoralthesis
keyword: infoinfo-ohcomputer-science-csother-csoh
keyword: location-based-social-networks
keyword: point-dinterets
keyword: points-of-interest
keyword: reseaux-sociaux-bases-sur-la-localisation
keyword: systemes-dinformation-geographique
keyword: theses
landing page: https://theses.hal.science/tel-00771457

LIDU : Location-based approach to IDentify similar interests between Users in social networks
type: Distribution
format: HTML
issued: 2026-05-15T12:07:48.512423
modified: 2026-05-15T12:07:48.455453
access URL: https://theses.hal.science/tel-00771457

test_moissonnage_selune
type: Agent