Traditionally, search engines have ignored the reading difficulty of documents and the reading proficiency of users in computing a document ranking. This is one reason why Web se...
Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. W...
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
In a mobile setting, users use, handle and search for online information in a different way. Two features typically desired by mobile users are tailored information delivery and co...
William Van Woensel, Sven Casteleyn, Olga De Troye...
Abstract. Biologists usually focus on only a small, individualized, subdomain of the huge domain of biology. With respect to their sub-domain, they often need data collected from v...
Nonaka and his knowledge transformation model SECI revolutionized the thinking about organizations as social learning systems. He introduced technical concepts like hypertext into...