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...
Document understanding techniques such as document clustering and multi-document summarization have been receiving much attention in recent years. Current document clustering meth...
Dingding Wang, Shenghuo Zhu, Tao Li, Yun Chi, Yiho...
This paper describes the starting points of how to design and build tools to help individual users track and monitor their presence on the web from the standpoints of individual p...
Markus Bylund, Jussi Karlgren, Fredrik Olsson, Ped...
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
As the number of non-English documents is increasing dramatically on the web nowadays, the study and design of information retrieval systems for these languages is very important....
Abolfazl AleAhmad, Hadi Amiri, Masoud Rahgozar, Fa...