Accession Number:

ADA517715

Title:

Relevance Feedback based on Constrained Clustering: FDU at TREC 09

Descriptive Note:

Conference paper

Corporate Author:

FUDAN UNIV SHANGHAI (CHINA)

Personal Author(s):

Report Date:

2009-11-01

Pagination or Media Count:

9.0

Abstract:

We introduce our participation of the TREC Relevance FeedbackRF TRACK in 2009. The RF09 TRACK is focused on the explicit relevant feedback, where a few relevant and irrelevant documents are available to each query. Our system is implemented under the framework of probabilistic language model. We apply the constrained clustering on the top returned documents and extract the expanded words to reform the query. We also extract the named entities from the explicit relevant documents to expand the query. The experiment was conducted on the ClueWeb09 TREC Category B, which is a new and huge test collection for the TREC TRACKs. The evaluation result shows the performance of the constrained clustering.

Subject Categories:

  • Information Science
  • Computer Programming and Software
  • Test Facilities, Equipment and Methods
  • Linguistics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE