User-centric evaluation framework for multimedia recommender systems

Bart Knijnenburg, Lydia Meesters, Paul Marrow, Don Bouwhuis

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

10 Citations (Scopus)

Abstract

Providing useful recommendations is an important challenge for user-centric media systems. Whereas current recommender systems research mainly focuses on predictive accuracy, we contend that a truly user-centric approach to media recommendations requires the inclusion of user experience measurement. For a good experience, predictive accuracy is not enough. What users like and dislike about our systems is also determined by usage context and individual user characteristics. We therefore propose a generic framework for evaluating the user experience using both subjective and objective measures of user experience. We envision the framework, which will be tested and validated in the large-scale field trials of the FP7 MyMedia project, to be a fundamental step beyond accuracy of algorithms, towards usability of recommender systems.

Original languageEnglish
Title of host publicationUser Centric Media - First International Conference, UCMedia 2009, Revised Selected Papers
EditorsP. Daras, O. Mayora
Pages366-369
Number of pages4
DOIs
Publication statusPublished - 2010
Event1st International Conference on User Centric Media, UCMedia 2009 - Venice, Italy
Duration: 9 Dec 200911 Dec 2009

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Volume40
ISSN (Print)1867-8211

Conference

Conference1st International Conference on User Centric Media, UCMedia 2009
Country/TerritoryItaly
CityVenice
Period9/12/0911/12/09

Fingerprint

Dive into the research topics of 'User-centric evaluation framework for multimedia recommender systems'. Together they form a unique fingerprint.

Cite this