RACOFI: A Rule-Applying Collaborative Filtering System

Lemire, Daniel and Boley, Harold (2003) RACOFI: A Rule-Applying Collaborative Filtering System. [Conference Paper] (In Press)

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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 .

Item Type:Conference Paper
Subjects:Computer Science > Machine Learning
Computer Science > Artificial Intelligence
ID Code:3166
Deposited By: Lemire, Daniel
Deposited On:19 Sep 2003
Last Modified:11 Mar 2011 08:55


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