Search tool plug-in: imploements latent topic feedback
Software
·
OSTI ID:1231509
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.
- Short Name / Acronym:
- IRIS V.1.0; 002714MLTPL00
- Site Accession Number:
- LLNL-CODE-521811
- Version:
- 00
- Programming Language(s):
- Medium: X; OS: Cross-platform
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- Contributing Organization:
- D. M. Andrzejewski, K. R. Lawrence
- DOE Contract Number:
- AC52-07NA27344
- OSTI ID:
- 1231509
- Country of Origin:
- United States
Similar Records
Improving knowledge management systems with latent semantic analysis
Research Notes and Information References
Nux, V.1.0
Conference
·
Sat Jul 01 00:00:00 EDT 2006
·
OSTI ID:1231509
Research Notes and Information References
Software
·
Thu Dec 01 00:00:00 EST 1994
·
OSTI ID:1231509
Nux, V.1.0
Software
·
Mon May 30 00:00:00 EDT 2005
·
OSTI ID:1231509