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

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

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 proceeding › Conference contribution › Scientific › peer-review

7 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 language	English
Title of host publication	Proceedings of the 7th International Conference on Weblogs and Social Media, ICWSM 2013
Publisher	AAAI PRESS
Pages	701-704
Number of pages	4
Publication status	Published - 2013
MoE publication type	A4 Article in a conference publication
Event	International AAAI Conference on Web and Social Media - Cambridge, United States Duration: 8 Jul 2013 → 11 Jul 2013 Conference number: 7

Conference

Conference	International AAAI Conference on Web and Social Media
Abbreviated title	ICWSM
Country/Territory	United States
City	Cambridge
Period	08/07/2013 → 11/07/2013

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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.",

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From foursquare to my square : Learning check-in behavior from multiple sources. / Malmi, Eric; Do, Trinh Minh Tri; Gatica-Perez, Daniel.

Proceedings of the 7th International Conference on Weblogs and Social Media, ICWSM 2013. AAAI PRESS, 2013. p. 701-704.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AB - 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.

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

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