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Investigating the effectiveness of computer-produced summaries obtained from multiple travel blog entries

Author

Listed:
  • Shumpei Iinuma

    (Hiroshima City University)

  • Hidetsugu Nanba

    (Hiroshima City University)

  • Toshiyuki Takezawa

    (Hiroshima City University)

Abstract

The evolution of information and communication technology now makes it possible to collect travel information in a variety of ways. Social media content that includes blogs is one such useful information source when planning a trip. This paper proposes a method for generating a summary of multiple travel blog entries that contain images. The proposed method identifies significant sentences in addition to the images by using a graph-based approach that considers travelers’ types of behavior. To investigate the effectiveness of the proposed method, we conducted two experiments: (1) evaluation of the quality of summaries and (2) evaluation of the effectiveness of these summaries. The experimental results demonstrated that the proposed method, LexRank + Image, can outperform state-of-the-art baseline methods for both evaluations. It was also confirmed that the proposed method could produce summaries containing new information not included in travel guidebooks. A system was implemented for generating summaries based on the proposed method.

Suggested Citation

  • Shumpei Iinuma & Hidetsugu Nanba & Toshiyuki Takezawa, 2019. "Investigating the effectiveness of computer-produced summaries obtained from multiple travel blog entries," Information Technology & Tourism, Springer, vol. 21(1), pages 83-103, March.
    • Handle: RePEc:spr:infott:v:21:y:2019:i:1:d:10.1007_s40558-018-0132-9
    DOI: 10.1007/s40558-018-0132-9
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    References listed on IDEAS

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    1. Gary Akehurst, 2009. "User generated content: the use of blogs for tourism organisations and tourism consumers," Service Business, Springer;Pan-Pacific Business Association, vol. 3(1), pages 51-61, March.
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