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Mobile Sequential Recommendation

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  • First Online:
Encyclopedia of GIS

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Synonyms

Mobile sequential recommendation (MRS); Potential travel distance (PTD)

Definition

Recommender systems (Adomavicius and Tuzhilin, 2005) address the information-overloaded problem by identifying user interests and providing personalized suggestions. In general, there are three ways to develop recommender systems. The first one is content based (Mooney and Roy, 1999). It suggests items which are similar to those a given user has liked in the past. The second way is based on collaborative filtering. In other words, recommendations are made according to the tastes of other users that are similar to the target user. Finally, a third way is to combine the above and have a hybrid solution (Pazzani, 1999). However, the development of personalized recommender systems in mobile and pervasive environments is much more challenging than developing recommender systems from traditional domains due to the complexity of spatial data and intrinsic spatiotemporal relationships, the unclear...

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Author information

Authors and Affiliations

  1. The University of Arizona, Tucson, AZ, USA

    Yong Ge

Authors
  1. Yong Ge
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Correspondence to Yong Ge .

Editor information

Editors and Affiliations

  1. Minneapolis, Minnesota, USA

    Shashi Shekhar

  2. Rutgers Business School, Newark, New Jersey, USA

    Hui Xiong

  3. The University of Iowa Tippie College of Business, Iowa City, Iowa, USA

    Xun Zhou

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© 2016 Springer International Publishing Switzerland

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Ge, Y. (2016). Mobile Sequential Recommendation. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-23519-6_1521-1

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  • DOI: https://doi.org/10.1007/978-3-319-23519-6_1521-1

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  • Publisher Name: Springer, Cham

  • Online ISBN: 978-3-319-23519-6

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