Abstract
A large amount of tweets about user experiences such as sightseeing appear on Twitter. These tweets are fragmented information and not easy to share with other people as a total experience. In this paper, we propose a novel method for finding and organizing such fragmented information by considering well the content relatedness to the target sightseeing experience and sharing worth with friends. The experimental results demonstrate the efficiency of our method. © 2014 Springer International Publishing Switzerland.
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CITATION STYLE
Ma, Q., & Hasegawa, K. (2014). Organizing sightseeing tweets based on content relatedness and sharability. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8485 LNCS, pp. 510–521). Springer Verlag. https://doi.org/10.1007/978-3-319-08010-9_57
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