Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...
Communication optimization plays an important role in building networked distributed applications. In this paper, we systematically evaluate four bandwidth reduction algorithms, n...
Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Abstract: In this paper, we study adaptive evaluation techniques for querying XMLbased electronic catalogs, and show, by means of experiments performed on real-world catalogs, that...