The purpose of this study is to empirically reveal strategies of students' organization of learning-related digital materials within an online personal information archive. Re...
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Abstract. Searching objects within a catalog is a problem of increasing importance, as the general public has access to increasing volumes of data. Constraint programming has addre...
Abstract-- Many popular Web sites suffer occasional uservisible problems such as slow responses, blank pages or error messages being displayed, items not being added to shopping ca...
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...