Genetic algorithm for information retrieval

Retrieval of relevant documents from a collection is a tedious task. As Genetic Algorithms (GA) are robust and efficient search and optimization techniques, they can be used to search the huge document search space. In this paper, a general frame work of information retrieval system is discussed. The applicability of Genetic algorithms in the field of information retrieval is also discussed. A review on how GA is applied to different problem domains in information retrieval is presented. A study on the similarity measures in information retrieval is also discussed.

[1]  Dana Vrajitoru,et al.  Crossover Improvement for the Genetic Algorithm in Information Retrieval , 1998, Information Processing & Management.

[2]  Jorng-Tzong Horng,et al.  Applying genetic algorithms to query optimization in document retrieval , 2000, Inf. Process. Manag..

[3]  Andrei Z. Broder,et al.  Effective and efficient classification on a search-engine model , 2006, CIKM.

[4]  Jintao Li,et al.  Query Performance Prediction for Information Retrieval Based on Covering Topic Score , 2008, Journal of Computer Science and Technology.

[5]  Qingsheng Zhu,et al.  A GA-based query optimization method for web information retrieval , 2007, Appl. Math. Comput..

[6]  Michael D. Gordon.  User-based document clustering by redescribing subject descriptions with a genetic algorithm , 1991, J. Am. Soc. Inf. Sci..

[7]  L. Schmitt.  Fundamental Study Theory of genetic algorithms , 2001 .

[8]  Lothar M. Schmitt,et al.  Theory of genetic algorithms , 2001, Theor. Comput. Sci..

[9]  Pawan Lingras,et al.  Unsupervised Rough Set Classification Using GAs , 2001, Journal of Intelligent Information Systems.

[10]  Hsinchun Chen,et al.  A Machine Learning Approach to Inductive Query by Examples : An Experiment Using Relevance Feedback , ID 3 , Genetic Algorithms , and Simulated Annealing , 1998 .

[11]  Peter Willett,et al.  Generation of equifrequent Groups of Words using a Genetic Algorithm , 1994, J. Documentation.

[12]  Weiguo Fan,et al.  Effective information retrieval using genetic algorithms based matching functions adaptation , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[13]  Ana Gabriela Maguitman,et al.  Using genetic algorithms to evolve a population of topical queries , 2008, Inf. Process. Manag..

[14]  Byoung-Tak Zhang,et al.  Genetic Mining of HTML Structures for Effective Web-Document Retrieval , 2003, Applied Intelligence.

[15]  Peter Willett,et al.  An Upperbound to the Performance of Ranked-output Searching: Optimal Weighting of Query Terms using a Genetic Algorithm , 1996, J. Documentation.

[16]  Mohand Boughanem,et al.  Multiple query evaluation based on an enhanced genetic algorithm , 2003, Inf. Process. Manag..

[17]  A. A. Aly.  APPLYING GENETIC ALGORITHM IN QUERY IMPROVEMENT PROBLEM , 2007 .

[18]  Seyed Hadi Nasseri,et al.  Genetic Mining: Using Genetic Algorithm for Topic based on Concept Distribution , 2008 .

[19]  Marshall Ramsey,et al.  An intelligent personal spider (agent) for dynamic Internet/Intranet searching , 1998, Decis. Support Syst..

[20]  Hsinchun Chen,et al.  A Machine Learning Approach to Inductive Query by Examples: An Experiment Using Relevance Feedback, ID3, Genetic Algorithms, and Simulated Annealing , 1998, J. Am. Soc. Inf. Sci..

[21]  Oscar Cordón,et al.  A review on the application of evolutionary computation to information retrieval , 2003, Int. J. Approx. Reason..