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11th International Conference on Data Engineering (ICDE'95)
A heuristic information retrieval model on a massively parallel processor
Taipei, Taiwan
March 06-March 10
ISBN: 0-8186-6910-1
ASCII Text
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Inien Syu, S.D. Lang, K.A. Hua, "A heuristic information retrieval model on a massively parallel processor," Data Engineering, International Conference on, pp. 365, 11th International Conference on Data Engineering (ICDE'95), 1995.
 
 
BibTex
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@article{ 10.1109/ICDE.1995.380371,
author = {Inien Syu and S.D. Lang and K.A. Hua},
title = {A heuristic information retrieval model on a massively parallel processor},
journal ={Data Engineering, International Conference on},
volume = {0},
year = {1995},
issn = {1063-6382},
pages = {365},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDE.1995.380371},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Engineering, International Conference on
TI - A heuristic information retrieval model on a massively parallel processor
SN - 1063-6382
SP
EP
A1 - Inien Syu,
A1 - S.D. Lang,
A1 - K.A. Hua,
PY - 1995
KW - information needs; neural nets; information retrieval; problem solving; parallel processing; diagnostic reasoning; inference mechanisms; Bayes methods; heuristic information retrieval model; massively parallel processor; competition-based connectionist model; diagnostic problem solving; documents; user information needs; manifestations; competitive activation mechanism; disorders; standard document collections; efficiency; retrieval precision; parallel implementation; MasPar MP-I SIMD machine; speedups
VL - 0
JA - Data Engineering, International Conference on
ER -
 
Inien Syu, Dept. of Comput. Sci., Central Florida Univ., Orlando, FL, USA
S.D. Lang, Dept. of Comput. Sci., Central Florida Univ., Orlando, FL, USA
K.A. Hua, Dept. of Comput. Sci., Central Florida Univ., Orlando, FL, USA
We adapt a competition-based connectionist model to information retrieval. This model, which has been proposed for diagnostic problem solving, treats documents as "disorders" and user information needs as "manifestations", and it uses a competitive activation mechanism which converges to a set of disorders that best explain the given manifestations. Our experimental results using four standard document collections demonstrate the efficiency and the retrieval precision of this model, comparable to or better than that of various information retrieval models reported in the literature. We also propose a parallel implementation of the model on a SIMD machine, MasPar's MP-I. Our experimental results demonstrate the potential to achieve significant speedups.
Index Terms:
information needs; neural nets; information retrieval; problem solving; parallel processing; diagnostic reasoning; inference mechanisms; Bayes methods; heuristic information retrieval model; massively parallel processor; competition-based connectionist model; diagnostic problem solving; documents; user information needs; manifestations; competitive activation mechanism; disorders; standard document collections; efficiency; retrieval precision; parallel implementation; MasPar MP-I SIMD machine; speedups
Citation:
Inien Syu, S.D. Lang, K.A. Hua, "A heuristic information retrieval model on a massively parallel processor," icde, pp.365, 11th International Conference on Data Engineering (ICDE'95), 1995
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