Title :
Genetic algorithm for information retrieval
Author :
Simon, Philomina ; Sathya, S. Siva
Author_Institution :
Dept. of Comput. Sci., Pondicherry Univ., Pondicherry, India
Abstract :
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.
Keywords :
genetic algorithms; query processing; search engines; document search space; genetic algorithm; information retrieval; Algorithm design and analysis; Computer science; Content based retrieval; Databases; Genetic algorithms; Indexing; Information retrieval; Mathematics; Query processing; Robustness; Document Indexing; Genetic Algorithm; Genetic Mining; Information Retrieval; Match Function Adaptation; Query Formulation; Query Optimization/; Ranking; Web Search;
Conference_Titel :
Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-4710-7
DOI :
10.1109/IAMA.2009.5228033