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Title: Search tool plug-in: imploements latent topic feedback

Abstract

IRIS is a search tool plug-in that is used to implement latent topic feedback for enhancing text navigation. It accepts a list of returned documents from an information retrieval wywtem that is generated from keyword search queries. Data is pulled directly from a topic information database and processed by IRIS to determine the most prominent and relevant topics, along with topic-ngrams, associated with the list of returned documents. User selected topics are then used to expand the query and presumabley refine the search results.

Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
Contributing Org.:
D. M. Andrzejewski, K. R. Lawrence
OSTI Identifier:
1231509
Report Number(s):
IRIS V.1.0; 002714MLTPL00
LLNL-CODE-521811
DOE Contract Number:  
AC52-07NA27344
Resource Type:
Software
Software Revision:
00
Software Package Number:
002714
Software Package Contents:
Open Source Software package available from Lawrence Livermore National Labortory at the following URL: https://github.com/LLNL/iris
Software CPU:
MLTPL
Open Source:
Yes
Source Code Available:
Yes
Country of Publication:
United States

Citation Formats

. Search tool plug-in: imploements latent topic feedback. Computer software. https://www.osti.gov//servlets/purl/1231509. Vers. 00. USDOE. 23 Sep. 2011. Web.
. (2011, September 23). Search tool plug-in: imploements latent topic feedback (Version 00) [Computer software]. https://www.osti.gov//servlets/purl/1231509.
. Search tool plug-in: imploements latent topic feedback. Computer software. Version 00. September 23, 2011. https://www.osti.gov//servlets/purl/1231509.
@misc{osti_1231509,
title = {Search tool plug-in: imploements latent topic feedback, Version 00},
author = {},
abstractNote = {IRIS is a search tool plug-in that is used to implement latent topic feedback for enhancing text navigation. It accepts a list of returned documents from an information retrieval wywtem that is generated from keyword search queries. Data is pulled directly from a topic information database and processed by IRIS to determine the most prominent and relevant topics, along with topic-ngrams, associated with the list of returned documents. User selected topics are then used to expand the query and presumabley refine the search results.},
url = {https://www.osti.gov//servlets/purl/1231509},
doi = {},
year = {2011},
month = {9},
note =
}