ISR10 Scientific Report No. ISR-10 Information Storage and Retrieval The Query-Document Matching Function chapter Joseph John Rocchio Harvard University Gerard Salton Use, reproduction, or publication, in whole or in part, is permitted for any purpose of the United States Government. 4-1[OCRerr] R = : d. [OCRerr] 1 Consider two document ima[OCRerr]es such that: d [OCRerr]q and £or arbitrary q. Then i£d1 : [OCRerr] d2 either: d1 [OCRerr] d2 ; or d2[OCRerr].d1 ; or di [OCRerr] d2 and d2[OCRerr]d1 The equality case has already been considered; an [OCRerr]:.O£ the;other.three possibilities lead to the existence 0£. some query which will retrieve one but not the other 0£ the documents dl and d2. Thus in [OCRerr]eneral, the relation [OCRerr] induced by set inclusion matbhin[OCRerr] is not an equivalence relation. In the case 0£ metric distance matchin[OCRerr] (o£ set or vector represented indeximages), de£ine the retrieved set R by the condition: :[OCRerr](q,d.)<[OCRerr]0 [OCRerr]ow consider two documents, d1 and d2, such that: [OCRerr](d1,d2) = where [OCRerr] is the smallest distance possible in terms 0£ the quantization