?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=RACOFI%3A+A+Rule-Applying+Collaborative+Filtering+System&rft.creator=Lemire%2C+Daniel&rft.creator=Boley%2C+Harold&rft.subject=Machine+Learning&rft.subject=Artificial+Intelligence&rft.description=In+this+paper+we+give+an+overview+of+the+RACOFI+(Rule-Applying+Collaborative+Filtering)+multidimensional+rating+system+and+its+related+technologies.+This+will+be+exemplified+with+RACOFI+Music%2C+an+implemented+collaboration+agent+that+assists+on-line+users+in+the+rating+and+recommendation+of+audio+(Learning)+Objects.+It+lets+users+rate+contemporary+Canadian+music+in+the+five+dimensions+of+impression%2C+lyrics%2C+music%2C+originality%2C+and+production.+The+collaborative+filtering+algorithms+STI+Pearson%2C+STIN2%2C+and+the+Per+Item+Average+algorithms+are+then+employed+together+with+RuleML-based+rules+to+recommend+music+objects+that+best+match+user+queries.+RACOFI+has+been+on-line+since+August+2003+at+http%3A%2F%2Fracofi.elg.ca.+.&rft.contributor=Ghorbani%2C+Ali&rft.contributor=Marsh%2C+Stephen&rft.date=2003&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F3166%2F1%2Fracofi_nrc.pdf&rft.identifier=++Lemire%2C+Daniel+and+Boley%2C+Harold++(2003)+RACOFI%3A+A+Rule-Applying+Collaborative+Filtering+System.++%5BConference+Paper%5D++++(In+Press)++&rft.relation=http%3A%2F%2Fcogprints.org%2F3166%2F