我们当然分享！社会标签系统的测试假设
Of course we share! Testing Assumptions about Social Tagging Systems
摘要：
社会标签系统已经成为当今网络的重要组成部分，并吸引了我们的研究社区在各种调查的兴趣。我们社区的总体愿景是，仅仅通过与系统的交互，即，通过资源的标记和共享，用户将有助于建立有用的语义结构以及使用不受控制的词汇的资源索引，这不仅是由于易于使用的机制。尽管如此，关于社会标签系统的各种假设已经出现，但由于缺乏合适的数据，测试它们一直很困难。在这项工作中，我们彻底调查了三个可用的假设-例如，标签系统真的是社会化的吗- 通过检查从真实世界的公共社交标签系统BibSonomy收集的实时日志数据。我们的实证结果表明，虽然其中一些假设在一定程度上成立，但其他假设需要以非常关键的眼光加以反思和看待。我们的观察结果对未来搜索和其他算法的设计具有影响，以更好地反映实际的用户行为。
英文摘要：
Social tagging systems have established themselves as an important part in today's web and have attracted the interest from our research community in a variety of investigations. The overall vision of our community is that simply through interactions with the system, i.e., through tagging and sharing of resources, users would contribute to building useful semantic structures as well as resource indexes using uncontrolled vocabulary not only due to the easy-to-use mechanics. Henceforth, a variety of assumptions about social tagging systems have emerged, yet testing them has been difficult due to the absence of suitable data. In this work we thoroughly investigate three available assumptions - e.g., is a tagging system really social? - by examining live log data gathered from the real-world public social tagging system BibSonomy. Our empirical results indicate that while some of these assumptions hold to a certain extent, other assumptions need to be reflected and viewed in a very critical light. Our observations have implications for the design of future search and other algorithms to better reflect the actual user behavior.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
