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Want a coffee?: predicting users' trails

Published: 12 August 2012 Publication History

Abstract

Twitter and Foursquare are two well-connected platforms for sharing information where growing numbers of users post location-related messages. In contrast to the longitude-latitude geotags commonly used online, e.g., on photos and tweets, new place-tags containing category information show more human-readable high-level information rather than a pair of coordinates. This grants an opportunity for better understanding users' physical locations which can be used as context to facilitate other applications, e.g., location context-aware advertisement. In this paper, we verify the assumption that users' current trails contain cues of their future routes. The results from the preliminary experiments show promising performance of a basic Markov Chain-based model.

References

[1]
L. Backstrom, E. Sun, and C. Marlow. Find me if you can: improving geographical prediction with social and spatial proximity. In WWW '10, pages 61--70, 2010.
[2]
T. Kurashima, T. Iwata, G. Irie, and K. Fujimura. Travel route recommendation using geotags in photo sharing sites. In CIKM '10, pages 579--588, 2010.
[3]
A. Sadilek, H. Kautz, and J. P. Bigham. Finding Your Friends and Following Them to Where You Are Categories and Subject Descriptors. In WSDM '12, pages 723--732, 2012.

Cited By

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  • (2024)Research and Modeling of Commercial Location Selection Based on Geographic Big Data and Mobile Signaling Data—A Case Study of the Central Urban Area of BeijingISPRS International Journal of Geo-Information10.3390/ijgi1312043213:12(432)Online publication date: 2-Dec-2024
  • (2020)Effects of contextual information on maintenance effortJournal of Systems and Software10.1016/j.jss.2019.110443159:COnline publication date: 1-Jan-2020
  • (2019)Traveler's Next Activity Predication with Location-Based Social Network DataProceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility10.1145/3356995.3364540(15-23)Online publication date: 5-Nov-2019
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Published In

cover image ACM Conferences
SIGIR '12: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
August 2012
1236 pages
ISBN:9781450314725
DOI:10.1145/2348283

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 August 2012

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Author Tags

  1. Twitter
  2. geotagging
  3. location-based estimation
  4. mobile applications
  5. text min- ing

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

View all
  • (2024)Research and Modeling of Commercial Location Selection Based on Geographic Big Data and Mobile Signaling Data—A Case Study of the Central Urban Area of BeijingISPRS International Journal of Geo-Information10.3390/ijgi1312043213:12(432)Online publication date: 2-Dec-2024
  • (2020)Effects of contextual information on maintenance effortJournal of Systems and Software10.1016/j.jss.2019.110443159:COnline publication date: 1-Jan-2020
  • (2019)Traveler's Next Activity Predication with Location-Based Social Network DataProceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility10.1145/3356995.3364540(15-23)Online publication date: 5-Nov-2019
  • (2018)Situation assessment for non-intrusive recommendation2018 12th International Conference on Research Challenges in Information Science (RCIS)10.1109/RCIS.2018.8406670(1-11)Online publication date: May-2018
  • (2017)Efficient Fine-Grained Location Prediction Based on User Mobility Pattern in LBSNs2017 Fifth International Conference on Advanced Cloud and Big Data (CBD)10.1109/CBD.2017.48(238-243)Online publication date: Aug-2017
  • (2016)Just-In-Time Recommendation Approach within a Mobile Context2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI)10.1109/WI.2016.0112(636-639)Online publication date: Oct-2016
  • (2015)A Mobile Context-Aware Proactive Recommendation ApproachComputational Collective Intelligence10.1007/978-3-319-24069-5_38(400-409)Online publication date: 24-Oct-2015
  • (2014)Interactive summarization of social mediaProceedings of the 5th Information Interaction in Context Symposium10.1145/2637002.2637050(312-315)Online publication date: 26-Aug-2014
  • (2013)Personalized point-of-interest recommendation by mining users' preference transitionProceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2505639(733-738)Online publication date: 27-Oct-2013

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