Collaborative filtering exploits user preferences, generally ratings, to provide them with recommendations. However, the ratings may not be completely trustworthy: the rating scale...
Armelle Brun, Ahmad Hamad, Olivier Buffet, Anne Bo...
Abstract. Folksonomies have become a powerful tool to describe, discover, search, and navigate online resources (e.g., pictures, videos, blogs) on the Social Web. Unlike taxonomies...
My doctoral research focuses on the usability and usage of new computer technology such as interactive systems that support the combination different input media such as voice, ge...
Abstract. In this paper we propose an incremental item-based collaborative filtering algorithm. It works with binary ratings (sometimes also called implicit ratings), as it is typi...
— Complex ad hoc join queries over enterprise databases are commonly used by business data analysts to understand and analyze a variety of enterprise-wide processes. However, eff...
Xiaoyan Yang, Cecilia M. Procopiuc, Divesh Srivast...