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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
h913ad6ff74e4e5e1
Venue
VLDB
Year
2000
Pagerank
6.9310405e-05
Overall Rank
3,910 | 73.72%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wu_vldb00,
        title = {{FALCON: Feedback Adaptive Loop for Content-Based Retrieval}},
        author = {Wu, Leejay and Faloutsos, Christos and Sycara, Katia and Payne, Terry R.},
        journal = {PVLDB},
        series = {{VLDB} '00},
        pages = {297},
        year = {2000}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
474 Automated Ranking of Database Query Results 2003 CIDR 0.00017672562
1,886 Probabilistic Ranking of Database Query Results 2004 VLDB 9.4339749e-05
7,284 SeeSaw: Interactive Ad-hoc Search Over Image Databases 2023 SIGMOD 5.5664736e-05
9,337 Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval 2003 SIGMOD 5.1911928e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

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