In Information Retrieval (IR), the efficient indexing of terabyte-scale and larger corpora is still
a difficult problem. MapReduce has been proposed as a framework for distributing data …

Our measurements on production datacenter traffic together with recently-reported results
(Kandula et al.)[1] suggest that datacenter networks suffer from long-lived congestion …

This paper describes Ivory, an attempt to build a distributed retrieval system around the open-
source Hadoop implementation of MapReduce. We focus on three noteworthy aspects of our …

In TREC 2009, we extend our Voting Model for the faceted blog distillation, top stories
identification, and related entity finding tasks. Moreover, we experiment with our novel …

Abstract Although Web Search Engines index and provide access to huge amounts of
documents, user queries typically return only a linear list of hits. While this is often …

Social tagging can provide rich semantic information for large-scale retrieval in music
discovery. Such collaborative intelligence, however, also generates a high degree of tags …

Given a collection of documents residing on a disk, we develop a new strategy for
processing these documents and building the inverted files extremely quickly. Our approach …

A seamless and intuitive search capability for the vast amount of datasets generated by
scientific experiments is critical to ensure effective use of such data by domain specific …

A method developed for classifying each location in a set of magnetic resonance (MR)
images by tissue type is described. Three MR images of a region of interest are acquired …

Abstract Information Retrieval (IR) systems are currently facing a continuous challenge due
to the increasing size of datasets. Extremely, large data from different aspects is gathered …