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Getting Places: Collaborative Predictions from Status

  • Mohamad Monibi
  • Donald J. Patterson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5859)

Abstract

In this paper we describe the use of collaborative filtering to make predictions about place using data from custom instant messaging status. Previous research has shown accurate predictions can be made from an individual’s personal data. The work in this paper demonstrates that community data can be used to make predictions in locations that are completely new to a user.

Keywords

Access Point Recommender System Ranking Function Collaborative Filter Instant Messaging 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Mohamad Monibi
    • 1
  • Donald J. Patterson
    • 1
  1. 1.University Of CaliforniaIrvineUSA

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