Walk the Talk: Analyzing the relation between implicit and explicit feedback for preference elicitation

Parra-Santander, Denis and Amatriain, Xavier (2011) Walk the Talk: Analyzing the relation between implicit and explicit feedback for preference elicitation. In: User Modeling, Adaptation & Personalization, 11 July 2011 - 15 July 2011, Girona, Spain.

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Abstract

Understanding user preferences or taste is an important goal in several of the application areas of user modeling such as personalisation or recommendation. Most of the approaches rely on having explicit feedback from users such as ratings to items or lists of interests. However, in many real-life situations we need to rely on implicit feedback such as the amount of times a user has bought a kind of item or listened to a song. The few approaches that can use such input rely on some assumptions that have not been validated through user studies and data analysis. In this work we aim at analyzing the relation between implicit feedback and explicit ratings to items. With this goal in mind, we conduct a user experiment in the music domain. We find thatthere is a strong relation between implicit feedback and ratings. Furthermore, we analyze the effect of other variables and find that only recentness – i.e. time ellapsed since the user interacted with the item being rated – has a significant effect. Using regression analysis, we propose a simple linear model that relates these variables to the rating we can expect to an item. Such model would allow to easily adapt any existing approach using explicit feedback to the implicit case.

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Details

Item Type:	Conference or Workshop Item (Paper)
Status:	Published
Creators/Authors:	Creators Email Pitt Username ORCID Parra-Santander, Denis Amatriain, Xavier
Date:	July 2011
Date Type:	Publication
Publisher:	Springer
Event Title:	User Modeling, Adaptation & Personalization
Event Dates:	11 July 2011 - 15 July 2011
Event Type:	Conference
Institution:	University of Pittsburgh
Schools and Programs:	School of Information Sciences > Information Science
Refereed:	Yes
Uncontrolled Keywords:	implicit, explicit, recommender, systems, regression, music
Date Deposited:	06 Jul 2011 20:46
Last Modified:	20 Dec 2018 00:55
URI:	http://d-scholarship.pitt.edu/id/eprint/5992

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