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. In this study, we propose a method for generating a summary of multiple travel blog entries that contain images. Our method identifies significant sentences in addition to the images by using a graph-based approach that takes account of travelers’ types of behavior. To investigate the effectiveness of our method, we conducted experiments, which demonstrated that our method can outperform some baseline methods. We also implemented a system for generating summaries based on our method.
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Iinuma, S., Nanba, H., Takezawa, T. (2018). Automatic Summarization of Multiple Travel Blog Entries Focusing on Travelers’ Behavior. In: Stangl, B., Pesonen, J. (eds) Information and Communication Technologies in Tourism 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-72923-7_11
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DOI: https://doi.org/10.1007/978-3-319-72923-7_11
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