Query formulation and reformulation is recognized as one of the most difficult tasks that users in information
retrieval systems are asked to perform. This study investigated the use of two different techniques for supporting
query reformulation in interactive information retrieval: relevance feedback and Local Context Analysis, both
implemented as term-suggestion devices. The former represents techniques which offer user control and
understanding of term suggestion; the latter represents...
%0 Generic
%1 citeulike:1997552
%A Belkin, N.
%A Cool, C.
%A Head, J.
%A Jeng, J.
%A Kelly, D.
%A Lin, S.
%A Lobash, L.
%A Park, S.
%A Knepshield, Savage P.
%A Sikora, C.
%D 2000
%K information-exploration information-retrieval relevance-feedback
%T Relevance feedback versus local context analysis as term suggestion devices
%U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.8464
%X Query formulation and reformulation is recognized as one of the most difficult tasks that users in information
retrieval systems are asked to perform. This study investigated the use of two different techniques for supporting
query reformulation in interactive information retrieval: relevance feedback and Local Context Analysis, both
implemented as term-suggestion devices. The former represents techniques which offer user control and
understanding of term suggestion; the latter represents...
@misc{citeulike:1997552,
abstract = {{Query formulation and reformulation is recognized as one of the most difficult tasks that users in information
retrieval systems are asked to perform. This study investigated the use of two different techniques for supporting
query reformulation in interactive information retrieval: relevance feedback and Local Context Analysis, both
implemented as term-suggestion devices. The former represents techniques which offer user control and
understanding of term suggestion; the latter represents...}},
added-at = {2018-03-19T12:24:51.000+0100},
author = {Belkin, N. and Cool, C. and Head, J. and Jeng, J. and Kelly, D. and Lin, S. and Lobash, L. and Park, S. and Knepshield, Savage P. and Sikora, C.},
biburl = {https://www.bibsonomy.org/bibtex/250d6d7218440faadbe86592ff6ccdacc/aho},
citeulike-article-id = {1997552},
citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.8464},
interhash = {4ea7ce3868f3c081929f631cd60e16ab},
intrahash = {50d6d7218440faadbe86592ff6ccdacc},
keywords = {information-exploration information-retrieval relevance-feedback},
posted-at = {2007-11-27 22:55:33},
priority = {2},
timestamp = {2018-03-19T12:24:51.000+0100},
title = {{Relevance feedback versus local context analysis as term suggestion devices}},
url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.8464},
year = 2000
}