---
abstract: '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, 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, lyrics, music, originality, and production. The collaborative filtering algorithms STI Pearson, STIN2, 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://racofi.elg.ca. .'
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chapter: ~
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confdates: October 2003
conference: IEEE/WIC COLA'03
confloc: 'Halifax, Canada'
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creators_id: []
creators_name:
  - family: Lemire
    given: Daniel
    honourific: ''
    lineage: ''
  - family: Boley
    given: Harold
    honourific: ''
    lineage: ''
date: 2003
date_type: published
datestamp: 2003-09-19
department: ~
dir: disk0/00/00/31/66
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editors_id: []
editors_name:
  - family: Ghorbani
    given: Ali
    honourific: ''
    lineage: ''
  - family: Marsh
    given: Stephen
    honourific: ''
    lineage: ''
eprint_status: archive
eprintid: 3166
fileinfo: /style/images/fileicons/application_pdf.png;/3166/1/racofi_nrc.pdf
full_text_status: public
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lastmod: 2011-03-11 08:55:21
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reportno: ~
rev_number: 12
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status_changed: 2007-09-12 16:48:46
subjects:
  - comp-sci-mach-learn
  - comp-sci-art-intel
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title: 'RACOFI: A Rule-Applying Collaborative Filtering System'
type: confpaper
userid: 4175
volume: ~
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