Abstract
Travel destination recommendation is useful to support travel. Considering the recommendation of regions within the destination area to visit, it could be difficult for the users to explicitly indicate their preference. Therefore, we considered that it would be more intuitive to recommend regions in the destination area that are similar to a region already well-known to the user. Thus, in this paper, we propose a method for the detection of similar geo-regions based on Visual Concepts in social photos. We report experimental results and analyses by applying the proposed method to the YFCC100M dataset.
M. Philippe—Currently at SONY Electronics.
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Acknowledgment
Parts of this work were supported by Grant-in-aid for Scientific Research from MEXT/JSPS.
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Takimoto, H. et al. (2018). Detection of Similar Geo-Regions Based on Visual Concepts in Social Photos. In: Zeng, B., Huang, Q., El Saddik, A., Li, H., Jiang, S., Fan, X. (eds) Advances in Multimedia Information Processing – PCM 2017. PCM 2017. Lecture Notes in Computer Science(), vol 10735. Springer, Cham. https://doi.org/10.1007/978-3-319-77380-3_47
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DOI: https://doi.org/10.1007/978-3-319-77380-3_47
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