Improving document representations using relevance feedback: The RFA algorithm

Document Type

Conference Proceeding

Publication Date

12-1-2004

Abstract

In this paper we present a document representation improvement technique, named the Relevance Feedback Accumulation (RFA) algorithm. Using prior relevance feedback assessments and a data mining measure called "support", the algorithm's learning function gradually improves document representations, over time and across users. Results show that the modified document representations yield lower dimensionality while improving retrieval effectiveness. The algorithm is efficient and scalable, suited for retrieval systems managing large document collections. Copyright 2004 ACM.

Identifier

18744371590 (Scopus)

Publication Title

International Conference on Information and Knowledge Management Proceedings

First Page

270

Last Page

278

This document is currently not available here.

Share

COinS