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Search Publications by: Ian Soboroff (Fed)

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Displaying 51 - 61 of 61

Dynamic Test Collections: Measuring Search Effectiveness on the Live Web

January 22, 2007
Author(s)
Ian M. Soboroff
Existing methods for measuring the quality of search algorithms use a static collection of documents. A set of queries and a mapping from the queries to the relevant documents allow the experimenter to see how well different search engines or engine

Overview of the TREC-2005 Enterprise Track

October 16, 2006
Author(s)
Nick Craswell, Arjen P. Vries, Ian Soboroff
The goal of the enterprise track it to conduct experiments with enterprise data-- intranet pages, email archives, document repositories -- that reflect the experiences of real users in real organizations. Such that, for example, an email ranking technique

Overview of the TREC 2004 Terabyte Track

October 3, 2005
Author(s)
Charles L. Clarke, Nick Craswell, Ian Soboroff
The Terabyte Track explores how adhoc retrieval and evaluationtechniques can scale to terabyte-sized collections. For TREC 2004, ourfirst year, 50 new adhoc topics were created and evaluated over a426GB collection of 25 million documents taken from the

Novelty Detection: The TREC Experience

October 1, 2005
Author(s)
Ian M. Soboroff, Donna K. Harman
A challenge for search systems is to detect not only when an item is relevant to the user's information need, but also when it contains something new which the user has not seen before. In the TREC novelty track, the task was to highlight sentences

Overview of the TREC 2004 Novelty Track

August 1, 2005
Author(s)
Ian M. Soboroff
TREC 2004 marks the third and final year for the Novelty Track. The task is as follows: Given a TREC topic and an ordered list of documents, systems must find relevant and novel sentences that should be returned to the user from this set. This task

Building a Filtering Test Collection for TREC 2002

July 28, 2003
Author(s)
Ian M. Soboroff, S E. Robertson
Test collections for the filtering track in TREC have typically used either past sets of relevance judgments, or categorized collections such as Reuters Corpus Volume 1 or OHSUMED, because filtering systems need relevance judgments during the experiment

Building a Filtering Tst Collection for TREC 2002

July 1, 2003
Author(s)
Ian Soboroff, S E. Robertson
Test collections for the filtering track in TREC have typically used either past sets of relevance judgments, or categorized collections such as Reuters Corpus Volume 1 or OHSUMED, because filtering systems need relevance judgments during the experiment

The TREC-2002 Filtering Track Report

April 1, 2003
Author(s)
S E. Robertson, Ian Soboroff
The TREC¿11 filtering track measures the ability of systems to build persistent user profiles which successfully separate relevant and non-relevant documents in an incoming stream. It consists of three major subtasks; adaptive filtering, batch filtering

The TREC-2001 Filtering Track Report

April 1, 2002
Author(s)
S E. Robertson, Ian Soboroff
The TREC-10 filtering track measures the ability of systems to build persistent user profiles which successfully separate relevant and non-relevant documents. It consists of three major subtasks: adaptive filtering, batch filtering, and routing. In