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Recommender Systems for Location-based Social Networks

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSELECTRIC))

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Abstract

This chapter compares and categorizes the algorithms that are described in Chap. 6 based on their basic characteristics. We categorized them based on (1) the kind of recommendation they provide (i.e., generic or personalized), (2) the type of recommendation they provide (i.e. Friend, Location, Activity, and Event), (3) the data representation they use for their model (i.e. matrix, tensor, graph), (4) the technique they are based on (i.e. probabilistic, semantic, collaborative filtering, etc.), (5) the data sets and the metrics they use in their experiments. The aforementioned categorizations help the reader to understand the main research choices that have been proposed in the research field of LBSNs and provides insight for further directions in the future.

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Notes

  1. 1.

    http://www.cse.ust.hk/~vincentz/aaai10.uclaf.data.mat

  2. 2.

    http://delab.csd.auth.gr/geosocial

  3. 3.

    http://realitycommons.media.mit.edu/realitymining.html

  4. 4.

    http://en.wikipedia.org/wiki/Gowalla

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Authors and Affiliations

  1. Department of Informatics Data Engineering Laboratory, Aristotle University of Thessaloniki, Stavroupoli, Thessaloniki, Greece

    Panagiotis Symeonidis

  2. Kiwe Development, Kalamaria, Thessaloniki, Greece

    Dimitrios Ntempos

  3. Department of Informatics Data Engineering Lab, Aristotle University of Thessaloniki, Stavroupoli, Thessaloniki, Greece

    Yannis Manolopoulos

Authors
  1. Panagiotis Symeonidis
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  2. Dimitrios Ntempos
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  3. Yannis Manolopoulos
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Symeonidis, P., Ntempos, D., Manolopoulos, Y. (2014). Comparison. In: Recommender Systems for Location-based Social Networks. SpringerBriefs in Electrical and Computer Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0286-6_7

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  • DOI: https://doi.org/10.1007/978-1-4939-0286-6_7

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4939-0285-9

  • Online ISBN: 978-1-4939-0286-6

  • eBook Packages: EngineeringEngineering (R0)

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