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Red de Revistas Científicas de América Latina y el Caribe, España y Portugal
Applying the Technology Acceptance Model to Evaluation of Recommender Systems
Marcelo G. Armentano, Ingrid Christensen, Silvia Schiaffino;
Polibits 2015 51
In general, the study of recommender systemsemphasizes the efficiency of techniques to provide accuraterecommendations rather than factors influencing users’acceptance of the system; however, accuracy alone cannot accountfor users’ satisfying experience. Bearing in mind this gap inthe research, we apply the technology acceptance model (TAM)to evaluate user acceptance of a recommender system in themovies domain. Within the basic TAM model, we incorporate anew latent variable representing self-assessed user skills to usea recommender system. The experiment included 116 users whoanswered a satisfaction survey after using a movie recommendersystem. The results evince that perceived usefulness of thesystem has more impact than perceived ease of use to motivateacceptance of recommendations. Additionally, users’ previousskills strongly influence perceived ease of use, which directlyimpacts on perceived usefulness of the system. These findingscan assist developers of recommender systems in their attemptto maximize users’ experience.

Palabras clave: Recommender systems, evaluation, user acceptance, technology acceptance model.
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Universidad Autónoma del Estado de México
Sistema de Información Científica Redalyc ®
Versión 3.0 | 2017