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HiBO: Mining Web’s Favorites

  • Conference paper
Advances in Data and Web Management (APWeb 2007, WAIM 2007)

Abstract

HiBO is a bookmark management system that incorporates a number of Web mining techniques and offers new ways to search, browse, organize and share Web data. One of the most challenging features that HiBO incorporates is the automated hierarchical structuring of bookmarks that are shared across users. One way to go about organizing shared files is to use one of the existing collaborative filtering techniques, identify the common patterns in the user preferences and organize bookmarked files accordingly. However, collaborative filtering suffers from some intrinsic limitations, the most critical of which is the complexity of the collaborative filleting algorithms that inevitably leads to the latency in updating the user profiles. In this paper, we address the dynamic maintenance of personalized views to shared files from a bookmark management system perspective and we study ways of assisting Web users share their information space with the community. To evaluate the contribution of HiBO, we applied our Web mining techniques to manage a large pool of bookmarked pages that are shared across community members. Results demonstrate that HiBO has a significant potential in assisting users organize and manage their shared data across web-based social networks.

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Guozhu Dong Xuemin Lin Wei Wang Yun Yang Jeffrey Xu Yu

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© 2007 Springer Berlin Heidelberg

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Stamou, S., Kozanidis, L., Tzekou, P., Zotos, N., Cristodoulakis, D. (2007). HiBO: Mining Web’s Favorites. In: Dong, G., Lin, X., Wang, W., Yang, Y., Yu, J.X. (eds) Advances in Data and Web Management. APWeb WAIM 2007 2007. Lecture Notes in Computer Science, vol 4505. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72524-4_87

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  • DOI: https://doi.org/10.1007/978-3-540-72524-4_87

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72483-4

  • Online ISBN: 978-3-540-72524-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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