Tourism Informatics pp 135-150

Part of the Intelligent Systems Reference Library book series (ISRL, volume 90) | Cite as

The Effectiveness of Time Sequence Information on a Sightseeing Spot Recommender

Chapter

Abstract

We have already proposed a sightseeing spot recommendation system based on information on the Web. An input for the prototype system was a user’s favorite location or facility. Our system computed a similarity measure between a target location that a user selects and each sightseeing spot in our database. One interesting feature for the similarity calculation in our system is time sequence information of each sightseeing spot. The prototype system used the number of hits in Yahoo Chiebukuro for the feature. We regard the time sequence as the potential-of-interest days for each sightseeing spot. In this paper, we focus another information resource for the time sequence feature; Panoramio. Panoramio is a geolocation-oriented photo sharing website and is useful to obtain the time sequence feature. Chiebukuro and Panoramio have different characteristics. Therefore, we compare the two information resources. We discuss the overall difference, the burst points and visualization. We also discuss several aspects of the time sequence which includes the merit and demerit of the feature.

Keywords

Sightseeing spot recommendation Time sequence Potential-of-interest days Yahoo Chiebukuro Panoramio 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Kazutaka Shimada
    • 1
  • Hisashi Uehara
    • 1
  • Tsutomu Endo
    • 1
  1. 1.Kyushu Institute of TechnologyIizuka FukuokaJapan

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