Distributed hash tables (DHTs) have been adopted as a building block for large-scale distributed systems. The upshot of this success is that their robust operation is even more imp...
Recently, mean-variance analysis has been proposed as a novel paradigm to model document ranking in Information Retrieval. The main merit of this approach is that it diversifies t...
Guido Zuccon, Leif Azzopardi, Keith van Rijsbergen
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Adoption of an information system could be reflected in two ways: through the adoption intentions of the non-adopters and the extent of adoption for the adopters. This study seeks...
We develop a system for 3D object retrieval based on sketched feature lines as input. For objective evaluation, we collect a large number of query sketches from human users that a...
Mathias Eitz, Ronald Richter, Tamy Boubekeur, Kris...