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FolkDiffusion: A Graph-Based Tag Suggestion Method for Folksonomies

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Information Retrieval Technology (AIRS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6458))

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Abstract

Collaborative social tagging is a popular and convenient way to organize web resources. All tags compose into a semantic structure named as folksonomies. Automatic tag suggestions can ease tagging activities of users. Various methods have been proposed for tag suggestions, which are roughly categorized into two approaches: content-based and graph-based. In this paper we present a heat diffusion method, i.e., FolkDiffusion, to rank tags for tag suggestions. Compared to existing graph-based methods, FolkDiffusion can suggest user- and resource-specific tags and prevent from topic drift. Experiments on real online social tagging datasets show the efficiency and effectiveness of FolkDiffusion compared to existing graph-based methods.

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Liu, Z., Shi, C., Sun, M. (2010). FolkDiffusion: A Graph-Based Tag Suggestion Method for Folksonomies. In: Cheng, PJ., Kan, MY., Lam, W., Nakov, P. (eds) Information Retrieval Technology. AIRS 2010. Lecture Notes in Computer Science, vol 6458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17187-1_22

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  • DOI: https://doi.org/10.1007/978-3-642-17187-1_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17186-4

  • Online ISBN: 978-3-642-17187-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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