DocumentCode
475663
Title
Scheduling Strategy Based on the Collaboration of Agents for MSE
Author
Dong, Qinhua ; Du, Yajun ; Wang, Fugui
Author_Institution
Sch. of Math. & Comput. Eng., Xihua Univ., Chengdu
Volume
1
fYear
2008
fDate
3-4 Aug. 2008
Firstpage
556
Lastpage
560
Abstract
Scheduling strategy for meta search engine is a crucial technology working on the search quality of the search results, and it is also an important research field. This paper discusses contemporary scheduling strategy of member search engine and agent technology, and puts forward a new scheduling strategy: scheduling strategy based on the collaboration of agents. Because all the agents can communicate with each other, expertness of member search engine can be learned and userpsilas feedback will be used to supervise the next search. Then the scheduling strategy not only improves the search quality but also makes the search quality more personalized. And the paper also designs and carries out the scheduling model. It has been approved that this scheduling strategy improves the search quality of meta search engine to an extent.
Keywords
groupware; information retrieval; learning (artificial intelligence); multi-agent systems; scheduling; search engines; agent collaboration; agent technology; learning; metasearch engine; scheduling strategy; search quality; search result; user feedback; Collaboration; Collaborative work; Databases; Feedback; Genetic algorithms; Learning systems; Metasearch; Processor scheduling; Scheduling algorithm; Search engines;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location
Guangzhou
Print_ISBN
978-0-7695-3290-5
Type
conf
DOI
10.1109/CCCM.2008.300
Filename
4609573
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