The blind leading the blind: Network-based location estimation under uncertainty

Eric Malmi*, Arno Solin, Aristides Gionis

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

2 Sitaatiot (Scopus)

Abstrakti

We propose a probabilistic method for inferring the geographical locations of linked objects, such as users in a social network. Unlike existing methods, our model does not assume that the exact locations of any subset of the linked objects, like neighbors in a social network, are known. The method efficiently leverages prior knowledge on the locations, resulting in high geolocation accuracies even if none of the locations are initially known. Experiments are conducted for three scenarios: geolocating users of a location-based social network, geotagging historical church records, and geotagging Flickr photos. In each experiment, the proposed method outperforms two state-of-the-art network-based methods. Furthermore, the last experiment shows that the method can be employed not only to network-based but also to content-based location estimation.

AlkuperäiskieliEnglanti
OtsikkoLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ToimittajatAnnalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, João Gama, Alípio Jorge, Carlos Soares
Sivut406-421
Sivumäärä16
Vuosikerta9285
ISBN (elektroninen)978-3-319-23525-7
DOI - pysyväislinkit
TilaJulkaistu - 2015
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - Porto, Portugali
Kesto: 7 syyskuuta 201511 syyskuuta 2015

Julkaisusarja

NimiLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vuosikerta9285
ISSN (painettu)03029743
ISSN (elektroninen)16113349

Conference

ConferenceEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
LyhennettäECML PKDD
MaaPortugali
KaupunkiPorto
Ajanjakso07/09/201511/09/2015

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