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
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;
Conference_Titel :
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3290-5
DOI :
10.1109/CCCM.2008.300