LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
— The creation of a robot capable of navigating in unknown urban environments without the use of GPS data or prior map knowledge is envisioned in the Autonomous City Explorer (AC...
Abstract. While the Probability Ranking Principle for Information Retrieval provides the basis for formal models, it makes a very strong assumption regarding the dependence between...
Guido Zuccon, Leif Azzopardi, Keith van Rijsbergen
This paper describes a decision tree model and 3dimensional representation of information retrieved from various weblogs in relation to argumentative logics. The weblogs are consi...
Abstract. With the digitization of society and the continuous migration of services to the electronic world, individuals have lost significant control over their data. In this pap...