: We are presenting a set of multilingual text analysis tools that can help analysts in any field to explore large document collections quickly in order to determine whether the do...
Camelia Ignat, Bruno Pouliquen, Ralf Steinberger, ...
The World Wide Web is a large, heterogeneous, distributedcollectionof documents connected by hypertext links. The most common technologycurrently used for searching the Web depend...
Alberto O. Mendelzon, George A. Mihaila, Tova Milo
Many of the recently proposed algorithms for learning feature-based ranking functions are based on the pairwise preference framework, in which instead of taking documents in isola...
Vitor R. Carvalho, Jonathan L. Elsas, William W. C...
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
—Ranking plays important roles in contemporary Internet and vertical search engines. Among existing ranking algorithms, link analysis based algorithms have been proved as effecti...