Title :
Adaptive Selection of Top-m Retrieval Schemes for Data Fusion Using Tabu Search
Author :
Gopalan, N.P. ; Batri, K. ; Selvan, B. Siva
Author_Institution :
Nat. Inst. of Technol., Tiruchirappalli
Abstract :
Performance of the information retrieval systems may be enhanced by data fusion, which combines more number of sources. Adaptive selection of the best function, good schemes with appropriate weights for the fusion is discussed in this paper. Tabu search is employed for this purpose. The experiments are conducted over three benchmark test collections.
Keywords :
information retrieval; search problems; sensor fusion; Tabu search; adaptive selection; benchmark test collections; data fusion; information retrieval systems; Computational intelligence; Counting circuits; Fusion power generation; History; Information retrieval; Nuclear measurements; System testing; Web sites;
Conference_Titel :
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location :
Sivakasi, Tamil Nadu
Print_ISBN :
0-7695-3050-8
DOI :
10.1109/ICCIMA.2007.211
