Title

Heuristic Information Retrieval Model On A Massively Parallel Processor

Abstract

We adapt a competition-based connectionist model to information retrieval in this paper. This model, which has been proposed for diagnostic problem solving, treats documents are treated 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 4 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.

Publication Date

1-1-1995

Publication Title

Proceedings - International Conference on Data Engineering

Number of Pages

365-372

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

0029222554 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0029222554

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