Abstract | ||
---|---|---|
The TREC-8 filtering track measures the ability of systems to build persistent user profileswhich successfully separate relevant and non-relevant documents. It consists of three majorsubtasks: adaptive filtering, batch filtering, and routing. In adaptive filtering, the systembegins with only a topic statement and must learn a better profile from on-line feedback. Batchfiltering and routing are more traditional machine learning tasks where the system begins witha large sample of... |
Year | Venue | Keywords |
---|---|---|
1999 | TREC | adaptive filter,machine learning |
Field | DocType | Citations |
Data mining,Computer science,Filter (signal processing),Adaptive filter,Artificial intelligence,Machine learning | Conference | 128 |
PageRank | References | Authors |
12.23 | 4 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
David A. Hull | 1 | 1282 | 214.27 |
STEPHEN ROBERTSON | 2 | 6204 | 669.07 |