Abstract | ||
---|---|---|
For TREC-9, we focused on effectiveness in the web track. The key techniques we employed were information fusion, entity-based relevance feedback, Wordnet-based query parsing and a user interface designed to assist with web-based manual queries. Our initial results are positive. For the manual task, forty of fift y queries are over the median. In the adhoc, title-only task, thirty-four of fifty queries are over the median. |
Year | Venue | Keywords |
---|---|---|
2000 | TREC | user interface design |
Field | DocType | Citations |
Data mining,Relevance feedback,Information retrieval,Computer science,Parsing,WordNet,User interface,Information fusion | Conference | 7 |
PageRank | References | Authors |
0.87 | 8 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Abdur Chowdhury | 1 | 2013 | 160.59 |
Steven M. Beitzel | 2 | 696 | 46.72 |
Eric C. Jensen | 3 | 696 | 46.72 |
M. Sailee | 4 | 7 | 0.87 |
david a grossman | 5 | 399 | 46.60 |
Ophir Frieder | 6 | 433 | 46.10 |
M. Catherine McCabe | 7 | 91 | 7.85 |
David O. Holmes | 8 | 163 | 20.38 |