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Optimization of parameters for effective web information retrieval using an evolutionary algorithm

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : Optimization of parameters for effective web information retrieval using an evolutionary algorithm
นักวิจัย : Zakos, John. , Zhang, Ping. , Verma, Brijesh.
คำค้น : 700103 Information processing services. , 280212 Neural Networks, Genetic Algorithms and Fuzzy Logic. , TBA. , 890205 Information Processing Services (incl. Data Entry and Capture) , 8902 Computer Software and Services. , 89 Information and Communication Services. , 080108 Neural, Evolutionary and Fuzzy Computation. , 0801 Artificial Intelligence and Image Processing. , 08 Information and Computing Sciences. , Information storage and retrieval systems. , Ontologies (Information retrieval) , Algorithms.
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2548
อ้างอิง : http://hdl.cqu.edu.au/10018/24141 , cqu:3772
ที่มา : Zakos, J, Zhang, P & Verma, B 2005, 'Optimization of parameters for effective web information retrieval using an evolutionary algorithm', in Proceedings of the International Joint Conference on Neural Networks, Montreal, Canada, 2005, pp. 582-587.
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Proceedings of the International Joint Conference on Neural Networks, Montreal, Canada, 2005. New Jersey, USA. : IEEE, 2005. p. 582-587 6 pages Refereed 0780390490 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

In this paper we present an approach based on the application of an evolutionary algorithm to optimally tune the parameters of a novel technique for effective web information retrieval. Context matching is a context-based technique for the ad-hoc retrieval of web documents that relies on a number of inter-related parameters that define the nature of the context it uses. Its aim is to dynamically generate a context-based measure of term significance during retrieval that can be used as an indicator of document relevancy and ultimately contribute to a documents rank score. But the optimal setting of context matching parameters is an important aspect of the technique to ensure effective retrieval. Thus, the goal of this paper is to investigate the use of an evolutionary algorithm for the optimization of context matching parameters and compare its performance to an iterative technique that exhaustively explores combinations of parameters. We show how the most effective settings for parameters are obtained efficiently through the evolutionary algorithm. We also show how context matching, through the use of these optimized parameters, achieves effective retrieval results on benchmark data that are a significant improvement on previously published results.

บรรณานุกรม :
Zakos, John. , Zhang, Ping. , Verma, Brijesh. . (2548). Optimization of parameters for effective web information retrieval using an evolutionary algorithm.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Zakos, John. , Zhang, Ping. , Verma, Brijesh. . 2548. "Optimization of parameters for effective web information retrieval using an evolutionary algorithm".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Zakos, John. , Zhang, Ping. , Verma, Brijesh. . "Optimization of parameters for effective web information retrieval using an evolutionary algorithm."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2548. Print.
Zakos, John. , Zhang, Ping. , Verma, Brijesh. . Optimization of parameters for effective web information retrieval using an evolutionary algorithm. กรุงเทพมหานคร : Central Queensland University, Australia; 2548.