Inferring Venue Visits from GPS Trajectories

Qihang Gu, Michael Mathioudakis, Dimitris Sacharidis, Gang Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Digital location traces can help build insights about how citizens experience their cities, but also oer personalized products and experiences to them. Even as data abound, though, building an accurate picture about citizen whereabouts is not always straightforward, due to noisy or incomplete data. In this paper, we address the following problem: given the GPS trace of a person’s trajectory in a city, we aim to infer what venue(s) the person visited along that trajectory, and in doing so, we use honest Foursquare check-ins as groundtruth. To tackle this problem, we address two sub-problems. The rst is groundtruthing, where we fuse GPS trajectories with Foursquare check-ins, to derive a collection of detected stops and truthful check-ins. The second sub-problem is designing an inference model that predicts the check-in venue given a stop. We evaluate variants of the model on real data and arrive at a simple and interpretable model with performance comparable to that of Foursquare recommendations.

Original languageEnglish (US)
Title of host publicationGIS
Subtitle of host publicationProceedings of the ACM International Symposium on Advances in Geographic Information Systems
EditorsSiva Ravada, Erik Hoel, Roberto Tamassia, Shawn Newsam, Goce Trajcevski, Goce Trajcevski
PublisherAssociation for Computing Machinery
ISBN (Print)9781450354905
DOIs
StatePublished - Nov 7 2017
Externally publishedYes
Event25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2017 - Redondo Beach, United States
Duration: Nov 7 2017Nov 10 2017

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
Volume2017-November

Conference

Conference25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2017
Country/TerritoryUnited States
CityRedondo Beach
Period11/7/1711/10/17

Keywords

  • Check-ins
  • Geographic choice
  • Stop detection
  • Venue inference

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Computer Science Applications
  • Modeling and Simulation
  • Computer Graphics and Computer-Aided Design
  • Information Systems

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