Documents are recommended by computer-based systems normally according to their prominence in the document reference network. Based on the requirements identified in a concrete u...
Abstract. This paper presents a unifying framework to model casebased reasoning recommender systems (CBR-RSs). CBR-RSs have complex architectures and specialize the CBR problem sol...
We studied how actual users find items of interest in today's complex, recommender-rich information environments, what role recommenders play in it, and if recommenders incre...
We present x.qui.site, a scalable system for managing recommendations for social tagging sites like del.icio.us. seamlessly incorporates various user behaviors into the recommenda...
Sihem Amer-Yahia, Alban Galland, Julia Stoyanovich...
User-generated reviews are a common and valuable source of product information, yet little attention has been paid as to how best to present them to end-users. In this paper, we d...