| 书目名称 | From Web to Social Web: Discovering and Deploying User and Content Profiles | | 副标题 | Workshop on Web Mini | | 编辑 | Bettina Berendt,Andreas Hotho,Giovanni Semeraro | | 视频video | | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | The World Wide Web is a rich source of information about human behavior. It containslarge amount of data organizedvia interconnected Web pages,traces of information search, user feedback on items of interest, etc. In addition to large data volumes, one of the important characteristics of the Web is its dynamics, where content,structure and usagearechanging over time. This showsup in the rise of related research areas like communities of practice, knowledge mana- ment, Web communities, and peer-to-peer. In particular the notion of colla- rative work and thus the need of its systematic analysis become more and more important. For instance, to develop e?ective Web applications, it is essential to analyze patterns hidden in the usage of Web resources, their contents and their interconnections. Machine learning and data mining methods have been used extensively to ?nd patterns in usage of the network by exploiting both contents and link structures. We have investigated these topics in a series of workshops on Semantic Web Mining (2001, 2002) at the European Conference on Machine Learning / Pr- ciples and Practice of Knowledge Discovery from Databases (ECML/PKDD) conference series, in th | | 出版日期 | Conference proceedings 2007 | | 关键词 | Extensible Markup Language (XML); Web 2; 0; Web Mining; Web usage mining; aspect-based tagging; attribute- | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-74951-6 | | isbn_softcover | 978-3-540-74950-9 | | isbn_ebook | 978-3-540-74951-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2007 |
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发表于 2025-3-21 19:10:20
