The use of genetic programming to build queries for information retrieval

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InCollection{Petry:1997:HEC,

• author = "Frederick E. Petry and Bill P. Buckles and Donald H. Kraft and Devaraya Prabhu and Thyagarajan Sadasivan",
• title = "The use of genetic programming to build queries for information retrieval",
• booktitle = "Handbook of Evolutionary Computation",
• publisher = "Oxford University Press",
• publisher_2 = "Institute of Physics Publishing",
• year = "1997",
• editor = "Thomas Baeck and David B. Fogel and Zbigniew Michalewicz",
• chapter = "section G2.1",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "0-7503-0392-1",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.375.6494.pdf",
• broken = "doi:10.1201/9781420050387.ptg",
• URL = "https://www.amazon.com/Handbook-Evolutionary-Computation-Computational-Intelligence/dp/0750303921",
• size = "6 pages",
• abstract = "Genetic programming is applied to an information retrieval system to improve Boolean query formulation via relevance feedback. Documents are viewed as vectors in term space. A Boolean query is a chromosome in the genetic programming sense. Through the mechanisms of genetic programming, the query is modified to improve precision and recall. Relevance feedback is incorporated via user-defined measures over a trial set of documents. The fitness of a candidate query can be expressed as a function of the relevance of the retrieved set. Preliminary results based on a test bed are given. The form of the fitness function has significant effect and the proper fitness functions take into account relevance based on topicality (and perhaps other factors).",

}

Genetic Programming entries for Frederic E Petry Bill Buckles Donald H Kraft Devaraya Prabhu Thyagarajan Sadasivan

Citations