DocumentCode :
2268452
Title :
Cognitive Immune System-Based Co-Evolutionary Information Retrieval Model
Author :
Hu, Zhi-Hua ; Ding, Yong-Sheng ; Lua, Xing-Jia
Author_Institution :
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai
Volume :
3
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
212
Lastpage :
215
Abstract :
The existent models of information retrieval (IR) focus on the relationship between index terms and documents. However, the current retrieval requirements demand delicate control to show the user preferences and feedback. And the exact results are emphasized for information explosion. Inspired by the maintenance function and model in immune system, a novel IR model is proposed based on cognitive immune system (CIS). Term network models the similarity relationship between terms and documents, the distance and similarity relationships among terms. The query string, user profile and feedback message stimulate the cytokine network which is a runtime structure to for IR. Co-evolutionary mechanisms are also designed to enable the emergence features of the model inspired by immune system.
Keywords :
cognitive systems; evolutionary computation; feedback; information retrieval; query processing; coevolutionary information retrieval model; cognitive immune system; cytokine network; documents; feedback; index terms; information explosion; maintenance function; query string; retrieval requirements demand delicate control; user preferences; Computational Intelligence Society; Educational institutions; Educational technology; Immune system; Information retrieval; Information technology; Logic; Negative feedback; Runtime; Textile technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
Type :
conf
DOI :
10.1109/IITA.2008.100
Filename :
4739989
Link To Document :
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