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Using taxonomy, discriminants, and signatures for navigating in text databases

Summary: Organizes text collections in a taxonomy for navigation, with documents annotated by dynamic, context-sensitive signatures. Per-node discriminants yield a small, fast multi-level classifier with high accuracy, enabling rapid updates. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8445
Venue
VLDB
Year
1997
Pagerank
7.0504959e-05
Overall Rank
3,485 | 75.76%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
1,606 Enhanced hypertext categorization using hyperlinks 1998 SIGMOD 0.00011174873
2,325 Building Hierarchical Classifiers Using Class Proximity 1999 VLDB 9.0304462e-05
12,659 An Automated System for Web Portal Personalization 2002 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
428 Latent Semantic Indexing: A Probabilistic Analysis 1998 PODS 0.00023512226
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