ISR11 Relevance Feedback in an Information Retrieval System chapter W. Riddle T. Horwitz R. Dietz Harvard University Gerard Salton Use, reproduction, or publication, in whole or in part, is permitted for any purpose of the United States Government. Results for Query No. 28 [OCRerr]1lINDEX Document Rank No. Name Relevant Correlation 1 5 1l0[OCRerr]EASIBIL 0 2 52 1l2lSCOPE AN 0 3 55 9O7SATI?E Ol 0 4 82 3O8MACHINE R 0 5 74 3OSTHE USE 0 - .00778240 6 35 1004DENEI[OCRerr] - .00950143 7 50 418ENGLISH-L - .01019877 8 77 213ADAPTIVE - .01537145 9 43 1206THE EDUC - .01665453 10 54 90IA SELECTE - .01848685 11 53 ll18D0cUME[OCRerr]TT - .02109709 12 4 307R0LE OF/ - .02201194 13 39 S1ThESEARCH - .02445580 14 23 815AFACET A - .02484712 15 76 1214S0ME HU[OCRerr]4 - .02638095 Ranking took .183333 seconds Relevant Document Ranks L-jocument Rank No. Name Relevant Correlation [4436 1110C0M[OCRerr]TER *x* -.08267569 VI-59 Normalized Recall .4756098 Noi[OCRerr]lized Precision = .1412683 Rank Recall = .0227 Log Precision = 0 N Query(2) = Query(1) + Alpha Z T,[OCRerr]IGHT(I) * Document of Rank I 1=1 (1) Document Rank 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Weight -1-1 0 0 0 0 0 0 0 0 0 0 0 0 0 N = Number of retrieved documents Alpha = 2 Update plus matching took 8.716667 seconds (b) Results after [OCRerr]irst Update (Increasing Alpha Strategy) Figure 11 (continued)