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FALCON: Feedback Adaptive Loop for Content-Based Retrieval

Summary: FALCON enables feedback-driven retrieval for disjunctive queries in metric spaces, learning concepts from weighted positives without vectorization or feature selection. A dissimilarity estimator plus metric-indexing acceleration preserves recall and yields rapid convergence, beating scanning by up to 200%. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8657
Venue
VLDB
Year
2000
Pagerank
6.8569375e-05
Overall Rank
3,669 | 74.51%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
427 Automated Ranking of Database Query Results 2003 CIDR 0.0002350378
1,996 Probabilistic Ranking of Database Query Results 2004 VLDB 9.8374939e-05
8,694 SeeSaw: Interactive Ad-hoc Search Over Image Databases 2023 SIGMOD 4.4615833e-05
9,007 Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval 2003 SIGMOD 4.4066007e-05
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Outgoing Citations (Sorted by Pagerank)

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

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