We study the usefulness of lookahead in online server routing problems: if an online algorithm is not only informed about the requests released so far, but also has a limited abil...
Luca Allulli, Giorgio Ausiello, Vincenzo Bonifaci,...
We present an on-line learning framework tailored towards real-time learning from observed user behavior in search engines and other information retrieval systems. In particular, ...
This paper presents an unsupervised opinion analysis method for debate-side classification, i.e., recognizing which stance a person is taking in an online debate. In order to hand...
Abstract: Information integration applications combine data from heterogeneous sources to assist the user in solving repetitive data-intensive tasks. Currently, such applications r...
Jim Blythe, Dipsy Kapoor, Craig A. Knoblock, Krist...
People come to online communities seeking information, encouragement, and conversation. When a community responds, participants benefit and become more committed. Yet interactions...
Jaime Arguello, Brian S. Butler, Elisabeth Joyce, ...