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Viewing Term Proximity from a Different
Perspective
May 1, 2005

Download Document

BibTex
Authors

Ruihua Song

Ji-Rong Wen

Wei-Ying Ma
Publication Type
TechReport
Number
MSR-TR-2005-69

Abstract

Related Info
Abstract
Various approaches have been explored to utilize word proximity information to improve the
effectiveness of text retrieval system. In previous works, loose phrases, composed of several
query terms that may be intervened by other words, are directly considered as additional
independent query terms, but in fact some of them are overlapped. This paper revisits the term
proximity scoring problem, and proposes a new method to incorporate term proximity into
ranking functions. The new method is different from priors in three aspects: (1) close query
terms are matched up to compose non-overlapped expanded spans which represent contexts of
query terms, (2) the contribution of a query term to relevance is determined by both its contexts
and frequency, (3) it is relatively easy to plug this method into existing ranking functions with
the part of inverse document frequency preserved. Experimental results on TREC-9,10,11
collections showed that the proposed approach consistently improved retrieval precision.
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