Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2013.485.490ChellatamilanT. SureshR.M. 32013133Today Internet Search Engines, employing intelligent and innovative
programming skills, do almost exhaustive search of data contained in websites
through number crunching operations at enormous speed but as the search results
usually run into hundreds of pages, it is not therefore always possible for
an average user to make effective use of such huge collections of data produced
as output. While input queries to the Search Engines are usually in the form
bag of words, most Information Retrieval systems of Search Engines use models
based on statistics of word counts for identifying and ranking the documents
in the order of their relevance. In order to make further progress and achieve
refinements, researchers have extensively studied the application of Artificial
Intelligence (AI), concept of Intelligent Agent (IA) to Information Retrieval
Tasks. In this study, the query reformulation has been performed based on the
statistical probabilistic language modeling technique. The comparative study
on the precision recall before and after query expansion been studied and the
plot has been plotted.]]>Zhai, C.,20082137213Heie, M.H. and W.D. Edward,201226193209Zhai, C. and J. Lafferty,20022002pp: 4956Larkey, L.S. and M.E. Connell,200541457473Mei, Q., H. Fang and C. Zhai,20072007Li, L. and L. Zhog, G. Xu and M. Kitsuregawa,2012391073910748Mark, X.U., V. Org, Y. Duan and B. Mathews,201147186201Fersini, E., E. Messina and F. Archetti,201046117130Ocoha, X. and E. Duval,200813448Hsieh, T.C. and T.I. Wang,20103741564167Vilares, J., M. Vilares and J. Otero,201147263286Song, S.K. and S.H. Myaeng,201248919930Dragoni, M., C.C. Pereira and A.G.B. Tettamanzi,2012391037610388He, B. and I. Ounis,20042004pp: 706719