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Title:Analyzing scientific user tagging behavior on academic blogs according to tag’s content characteristics - A preliminary study
Author(s):Zhang, Yingyi; Zhang, Chengzhi; Chen, Gao; Ma, Shutian
Subject(s):User tagging behavior
Academic blog
Abstract:With the increasing of academic blogs on network, tags start to play an important role in academic blogs organizing. Researches about tagging behavior on academic resource are few. In order to prompt user to annotate tags, tagging behavior of users need to be understood to help tagging system satisfy users’ needs. However, different user types may have different tagging behavior. This poster devoted to analyze tags’ content characteristic vary various user types. There are two issues relating to this study: 1) How can we measure tags’ content characteristic? 2) Does tags’ content characteristic changes across different academic blog user types? To assess tags’ content characteristic, we introduce the conception of topical and non-topical tag. Our experimental results show that tags’ content characteristic is different among academic users' professional type and tagging frequency.
Issue Date:2017
Citation Info:Zhang, Y., & Zhang, C. (2017). Analyzing Scientific User Tagging Behavior on Academic Blogs According to Tag’s Content Characteristics - a Preliminary Study. In iConference 2017 Proceedings (pp. 881-886).
Series/Report:iConference 2017 Proceedings
Genre:Conference Poster
Rights Information:Copyright 2017 Yingyi Zhang, Chengzhi Zhang, Gao Chen, and ShuTian Ma
Date Available in IDEALS:2017-07-27

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