Abstract:
As the World Wide Web becomes a large source of
images, the image recommendation system has got a great
demand. There are several image recommendation systems for
both commercial and academic areas, which deal with the
preference as fixed. However, since the Images preferred by a
user may change depending on the contexts, the conventional
systems have inherent problems. This paper proposes a contextaware
image recommendation service (picSEEK) that exploits
the collaborative-filtering to recommend appropriate images with
respect to the context. We have analyzed the recommendation
process and performed a subjective test to show the usefulness of
the proposed system.
