Automatically organizing bookmarks per contents
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
Information archiving with bookmarks: personal Web space construction and organization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PowerBookmarks: a system for personalizable Web information organization, sharing, and management
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
An Empirical Analysis of Web Page Revisitation
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 5 - Volume 5
DirectoryRank: ordering pages in web directories
Proceedings of the 7th annual ACM international workshop on Web information and data management
GiveALink: mining a semantic network of bookmarks for web search and recommendation
Proceedings of the 3rd international workshop on Link discovery
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Babylon bookmarks: a taxonomic approach to the management of WWW bookmarks
MIS'02 Proceedings of the 2002 international conference on Metainformatics
Classifying web data in directory structures
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
Hi-index | 0.00 |
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.