From foursquare to my square: Learning check-in behavior from multiple sources

Eric Malmi, Trinh Minh Tri Do, Daniel Gatica-Perez

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    6 Citations (Scopus)

    Abstract

    Location-based services often use only a single mobility data source, which typically will be scarce for any new user when the system starts out. We propose a transfer learning method to characterize the temporal distribution of places of individuals by using an external, additional, large-scale check-in data set such as Foursquare data. The method is applied to the next place prediction problem, and we show that the incorporation of additional data through the proposed method improves the prediction accuracy when there is a limited amount of prior data.

    Original languageEnglish
    Title of host publicationProceedings of the 7th International Conference on Weblogs and Social Media, ICWSM 2013
    PublisherAAAI PRESS
    Pages701-704
    Number of pages4
    Publication statusPublished - 2013
    MoE publication typeA4 Article in a conference publication
    EventInternational AAAI Conference on Weblogs and Social Media - Cambridge, United States
    Duration: 8 Jul 201311 Jul 2013
    Conference number: 7

    Conference

    ConferenceInternational AAAI Conference on Weblogs and Social Media
    Abbreviated titleICWSM
    CountryUnited States
    CityCambridge
    Period08/07/201311/07/2013

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