INVESTIGADORES
SCHIAFFINO Silvia Noemi
congresos y reuniones científicas
Título:
User Acceptance of Recommender Systems: Influence of the Preference Elicitation
Autor/es:
MARCELO ARMENTANO; ROBERTO ABALDE; SILVIA SCHIAFFINO; ANALIA AMANDI
Reunión:
Workshop; Proceedings 9th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2014; 2014
Resumen:
We conducted a user study evaluating two preference
elicitation approaches for collaborative filtering recommender
systems: a basic KNN algorithm and a context aware
algorithm. Using the technology acceptance model (TAM) as
theoretical model, we considered different factors affecting the
perceived usefulness, perceived ease of use and attitude towards
using the recommender system. We found that the underlying
algorithm can affect in different ways the user perception of the
system as a whole. Although the system interface was the same
for all users, users found the context aware system easier to use,
with more attractive recommendations that were better adapted
to their mood and tastes. Users using the context aware system
also showed a better acceptance of the fact that the system was
able to learn about their preferences and expressed a stronger
intention to use the system again.