Detecting Event Visits in Urban Areas via Smartphone GPS Data

Richard Schaller, Morgan Harvey, David Elsweiler

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Citations (Scopus)

Abstract

In geographic search tasks, where the location of the user is an important part of the task context, knowing whether or not a user has visited a location associated with a returned result could be a useful indicator of system performance. In this paper we derive and evaluate a model to estimate, based on user interaction logs, GPS information and event meta-data, the events that were visited by users of a mobile search system for an annual cultural evening where multiple events were organised across the city of Munich. Using a training / testing set derived from 111 users, our model is able to achieve high levels of accuracy, which will, in future work, allow us to explore how different ways of using the system lead to different outcomes for users.
Original languageEnglish
Title of host publicationAdvances in Information Retrieval
EditorsMaarten de Rijke, Tom Kenter, Arjen de Vries, ChengXiang Zhai, Franciska de Jong, Kira Radinsky, Katja Hofmann
Place of PublicationLondon
PublisherSpringer
Pages681-686
Volume8416
ISBN (Print)978-3-319-06027-9
Publication statusPublished - 2014
EventAdvances in Information Retrieval - 36th European Conference on {IR} Research, {ECIR} 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings -
Duration: 1 Jan 2014 → …

Publication series

NameLecture Notes in Computer Science
PublisherSpringer

Conference

ConferenceAdvances in Information Retrieval - 36th European Conference on {IR} Research, {ECIR} 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings
Period1/01/14 → …

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