User Adaptive Methods for Interactive Analysis of Document Databases
نویسندگان
چکیده
The currently available document retrieval tools are usually still based on simple keyword search methods and according result list or a static (hierarchical) classification of the considered document collection. Both approaches neither allow a user to adapt the ranking or the classification to his needs, nor provide visualization methods to support the user in browsing or analysing a document collection. In this article we give a brief overview of our work on user adaptive methods for searching and browsing in document collections.
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تاریخ انتشار 2002