Probabilistic and genetic algorithms in document retrieval

Key Points

Key points are not available for this paper at this time.

Abstract

Document retrieval systems are built to provide inquirers with computerized access to relevant documents. Such systems often miss many relevant documents while falsely identifying many non-relevant documents. Here, competing document descriptions are associated with a document and altered over time by a genetic algorithm according to the queries used and relevance judgments made during retrieval.

Mark Helpful

Bookmark

Relay

View Full Paper

Cite This Study

Michael Gordon (Sat,) studied this question.

synapsesocial.com/papers/6a15318379ff98d0de4e3a15 https://doi.org/https://doi.org/10.1145/63039.63044

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Document representation in probabilistic models of information retrieval1981 · 51 citations
2Adaptation in Natural and Artificial Systems1992 · 35,557 citations
3The SMART retrieval system; experiments in automatic document processing1973 · 136 citations
4A probabilistic approach to automatic keyword indexing. Part I. On the Distribution of Specialty Words in a Technical Literature1975 · 198 citations
5The hyperterm model of a bibliographic database1986 · 3 citations

Mark Helpful

Bookmark

Relay

View Full Paper