Facet Tree for Personalized Web Documents Organization

摘要

Vast amount information and resources in the digital libraries and in general on the Web demands effective methods of archiving and organization. However, most of the existing solutions support only very specific use case scenarios, or are not flexible enough to accommodate to the changes in the document collections over time. We propose a method for web documents organization based on a facet view of the personal information structure. Facet chaining in a tree can create any depth of the structure and thus specify any context of resources. We enhanced this method by clustering similar resources and by using a special Search facet that allows users to specify arbitrary keyword queries as an input for collection's categorization. In order to evaluate the proposed approach, we carried out a user study in the bookmarking system Annota.