Personalized location recommendation on location-based social networks

Huiji Gao, Jiliang Tang, Huan Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

Personalized location recommendation is a special topic of recommendation. It is related to human mobile behavior in the real world regarding various contexts including spatial, temporal, social, and content. The development of this topic is subject to the availability of human mobile data. The recent rapid growth of location-based social networks has alleviated such limitation, which promotes the development of various location recommendation techniques. This tutorial offers an overview, in a data mining perspective, of personalized location recommendation on locationbased social networks. It introduces basic concepts, summarizes unique LBSN characteristics and research opportunities, elaborates associated challenges, reviews state-ofthe- art algorithms with illustrative examples and real-world LBSN datasets, and discusses effective evaluation methods.

Original languageEnglish (US)
Title of host publicationRecSys 2014 - Proceedings of the 8th ACM Conference on Recommender Systems
PublisherAssociation for Computing Machinery, Inc
Pages399-400
Number of pages2
ISBN (Electronic)9781450326681
DOIs
StatePublished - Oct 6 2014
Event8th ACM Conference on Recommender Systems, RecSys 2014 - Foster City, United States
Duration: Oct 6 2014Oct 10 2014

Publication series

NameRecSys 2014 - Proceedings of the 8th ACM Conference on Recommender Systems

Conference

Conference8th ACM Conference on Recommender Systems, RecSys 2014
CountryUnited States
CityFoster City
Period10/6/1410/10/14

Keywords

  • Location recommendation
  • Location-based social networks
  • Personalization

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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