University of Strathclyde at TREC HARD

M. Baillie; D. Elsweiler; E. Nicol; I. Ruthven; S. Sweeney; M. Yakici; F. Crestani; M. Landoni; E.M. Voorhees; L.M. Buckland

University of Strathclyde at TREC HARD

M. Baillie, D. Elsweiler, E. Nicol, I. Ruthven, S. Sweeney, M. Yakici, F. Crestani, M. Landoni, E.M. Voorhees (Editor), L.M. Buckland (Editor)

Computer And Information Sciences

Research output: Contribution to conference › Paper

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Abstract

The motivation behind the University of Strathclyde's approach to this years HARD track was inspired from previous experiences by other participants, in particular research by [1], [3] and [4]. A running theme throughout these papers was the underlying hypothesis that a user's familiarity in a topic (i.e. their previous experience searching a subject), will form the basis for what type or style of document they will perceive as relevant. In other words, the user's context with regards to their previous search experience will determine what type of document(s) they wish to retrieve.

Original language	English
Number of pages	10
Publication status	Published - 2005
Event	Proceedings of the Fourteenth Text REtrieval Conference (TREC-14) - Maryland, USA Duration: 15 Nov 2005 → 18 Nov 2005

Conference

Conference	Proceedings of the Fourteenth Text REtrieval Conference (TREC-14)
City	Maryland, USA
Period	15/11/05 → 18/11/05

Keywords

information retrieval
searching
document retrieval
search algorithm

Access to Document

strathprints002749.pdf

Cite this

@conference{9f7a5abb0ad24c95a1ffafa3086b5c1f,

title = "University of Strathclyde at TREC HARD",

abstract = "The motivation behind the University of Strathclyde's approach to this years HARD track was inspired from previous experiences by other participants, in particular research by [1], [3] and [4]. A running theme throughout these papers was the underlying hypothesis that a user's familiarity in a topic (i.e. their previous experience searching a subject), will form the basis for what type or style of document they will perceive as relevant. In other words, the user's context with regards to their previous search experience will determine what type of document(s) they wish to retrieve.",

keywords = "information retrieval, searching, document retrieval, search algorithm",

author = "M. Baillie and D. Elsweiler and E. Nicol and I. Ruthven and S. Sweeney and M. Yakici and F. Crestani and M. Landoni and E.M. Voorhees and L.M. Buckland",

year = "2005",

language = "English",

note = "Proceedings of the Fourteenth Text REtrieval Conference (TREC-14) ; Conference date: 15-11-2005 Through 18-11-2005",

}

TY - CONF

T1 - University of Strathclyde at TREC HARD

AU - Baillie, M.

AU - Elsweiler, D.

AU - Nicol, E.

AU - Ruthven, I.

AU - Sweeney, S.

AU - Yakici, M.

AU - Crestani, F.

AU - Landoni, M.

A2 - Voorhees, E.M.

A2 - Buckland, L.M.

PY - 2005

Y1 - 2005

N2 - The motivation behind the University of Strathclyde's approach to this years HARD track was inspired from previous experiences by other participants, in particular research by [1], [3] and [4]. A running theme throughout these papers was the underlying hypothesis that a user's familiarity in a topic (i.e. their previous experience searching a subject), will form the basis for what type or style of document they will perceive as relevant. In other words, the user's context with regards to their previous search experience will determine what type of document(s) they wish to retrieve.

AB - The motivation behind the University of Strathclyde's approach to this years HARD track was inspired from previous experiences by other participants, in particular research by [1], [3] and [4]. A running theme throughout these papers was the underlying hypothesis that a user's familiarity in a topic (i.e. their previous experience searching a subject), will form the basis for what type or style of document they will perceive as relevant. In other words, the user's context with regards to their previous search experience will determine what type of document(s) they wish to retrieve.

KW - information retrieval

KW - searching

KW - document retrieval

KW - search algorithm

UR - https://trec.nist.gov/pubs/trec14/papers/ustrathclyde.hard.pdf

M3 - Paper

T2 - Proceedings of the Fourteenth Text REtrieval Conference (TREC-14)

Y2 - 15 November 2005 through 18 November 2005

ER -

University of Strathclyde at TREC HARD

Abstract

Conference

Keywords

Access to Document

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