Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
Many document collections are by nature dynamic, evolving as the topics or events they describe change. The goal of temporal text mining is to discover bursty patterns and to ident...
Background: Searching for approximate patterns in large promoter sequences frequently produces an exceedingly high numbers of results. Our aim was to exploit biological knowledge ...
Stefania Bortoluzzi, Alessandro Coppe, Andrea Biso...
We present a novel model for validating and improving the content and structure organization of a website. This model studies the website as a graph and evaluates its interconnect...
We describe a framework for representing email as well as meeting information as a joint graph. In the graph, documents and meeting descriptions are connected via other nontextual...