Genetic-based approaches in ranking function discovery and optimization in information retrieval -- A framework
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- @Article{Fan2009398,
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author = "Weiguo Fan and Praveen Pathak and Mi Zhou",
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title = "Genetic-based approaches in ranking function discovery
and optimization in information retrieval -- A
framework",
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journal = "Decision Support Systems",
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volume = "47",
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number = "4",
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pages = "398--407",
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year = "2009",
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note = "Smart Business Networks: Concepts and Empirical
Evidence",
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ISSN = "0167-9236",
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DOI = "doi:10.1016/j.dss.2009.04.005",
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URL = "http://www.sciencedirect.com/science/article/B6V8S-4W2W5G2-2/2/891e4aeaad9141e2bfe99d4477f96c1a",
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keywords = "genetic algorithms, genetic programming, Information
retrieval, Artificial intelligence, Evolutionary
computations, Data fusion",
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abstract = "An Information Retrieval (IR) system consists of
document collection, queries issued by users, and the
matching/ranking functions used to rank documents in
the predicted order of relevance for a given query. A
variety of ranking functions have been used in the
literature. But studies show that these functions do
not perform consistently well across different
contexts. In this paper we propose a two-stage
integrated framework for discovering and optimising
ranking functions used in IR. The first stage,
discovery process, is accomplished by intelligently
leveraging the structural and statistical information
available in HTML documents by using Genetic
Programming techniques to yield novel ranking
functions. In the second stage, the optimization
process, document retrieval scores of various
well-known ranking functions are combined using Genetic
Algorithms. The overall discovery and optimization
framework is tested on the well-known TREC collection
of web documents for both the ad-hoc retrieval task and
the routing task. Using our framework we observe a
significant increase in retrieval performance compared
to some of the well-known stand alone ranking
functions.",
- }
Genetic Programming entries for
Weiguo Fan
Praveen Pathak
Mi Zhou
Citations