Accession Number:

ADA459191

Title:

Rutgers Filtering Work at TREC 2002: Adaptive and Batch

Descriptive Note:

Corporate Author:

RUTGERS - THE STATE UNIV NEW BRUNSWICK NJ DEPT OF COMPUTER SCIENCE

Personal Author(s):

• Anghelescu, Andrei
• Boros, Endre
• Lewis, David
• Menkov, Vladimir
• Neu, David
• Kantor, Paul

Report Date:

2002-01-01

Pagination or Media Count:

9.0

Abstract:

This year at TREC 2002 we participated in the adaptive filtering sub-task of the filtering track with some models for training a Rocchio classifier. Results were poorer than average on the utility type measures. Using simple feature selection produced better than average results on an F-type measure. The key to our approach was the use of pseudojudgments, and an approach to threshold updating. We also participated in the batch filtering sub-task of the filtering track and investigated the use of rank based feature selection techniques in conjunction with a very simple classification rule.

Descriptors:

• *INFORMATION RETRIEVAL
• *CLASSIFICATION
• THRESHOLD EFFECTS
• SELECTION

Subject Categories:

• Information Science
• Linguistics
• Numerical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE