personalized-recommendation-tutorial-description

AI Techniques for Personalized RecommendationProposal for a full-day AAAI 2004 tutorialJohn Riedl and Anthony Jameson and Joseph KonstanRecommender Application Space1 Brief Description of the TutorialOverview of several dimensions along which recom-Personalized recommendation of products, documents, andmender applications vary (e.g., purpose of recommen-collaborators has become an important way of meeting userdations)needs in commerce, information provision, and communityInitial discussion of privacy issuesservices, whether on the web, through mobile interfaces, orthrough traditional desktop interfaces. This tutorial rst re-Applications and Interfacesviews the types of personalized recommendation that are be-Discussion of a representative set of types of applicationing used commercially and in research systems. It then sys-and interface from three areas:tematically presents and compares the underlying AI tech-e-commerceniques, including recent variants and extensions of collabora-document recommendationtive ltering, demographic and case-based approaches, andoff-web interfacesdecision-theoretic methods. The properties of the varioustechniques are compared within a general framework, so thatCase Studies of Applications and Interfacesparticipants learn how to match recommendation techniquesSeveral in-depth discussions of particular applicationsto applications and how to combine complementary tech-and interfaces, in the form of:niques.live ...