000 015110000a22003490004500
003 EG-GICUC
005 20250223025153.0
008 080324s2007 ua f m 000 0 eng d
040 _aEG-GICUC
_beng
_cEG-GICUC
041 0 _aEng
049 _aDeposite
097 _aM.Sc
099 _aCai01.20.04.M.Sc.2007.Wa.S
100 0 _aWaleed Helmy Abdelhafeez
245 1 0 _aSpeeding - up web information extraction /
_cWaleed Helmy Abdelhafeez ; Supervised Mokhtar Boshra Riad , Mohamed Ezz Eldin Elsharkawi , Kareem Mohamed Darwish
246 1 5 _aتسريع استخلاص المعلومات من الويب
260 _aCairo :
_bWaleed Helmy Abdelhafeez ,
_c2007
300 _a71P. ;
_c30cm
502 _aThesis (M.Sc.) - Cairo University - Faculty Of Computers and Information - Department Of Information Systems
520 _aIn infoemation retieval , relevance feedback has been used to effectively improve retrival performance.Traditionally this feedback is generated by the user.However , recently there has been some exploration in blind relevance feedback BRF
530 _aIssued also as CD
653 4 _aBlind relevance feedback
653 4 _aQueny expansion
653 4 _aTem co - occurrence
700 0 _aKareem Mohamed Darwish ,
_eSupervisor
700 0 _aMohamed Ezz Eldin Elsharkawi ,
_eSupervisor
700 0 _aMokhtar Boshra Riad ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aMustafa
_eRevisor
905 _aSamia
_eCataloger
942 _2ddc
_cTH
999 _c7171
_d7171