Title
IIT TREC-9 - Entity Based Feedback with Fusion
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 Chowdhury12013160.59
Steven M. Beitzel269646.72
Eric C. Jensen369646.72
M. Sailee470.87
david a grossman539946.60
Ophir Frieder643346.10
M. Catherine McCabe7917.85
David O. Holmes816320.38