From economics to sports to entertainment and social media, ranking objects according to
some notion of importance is a fundamental tool we humans use all the time to better …

Visual coherence between virtual and real objects is a major issue in creating convincing
augmented reality (AR) applications. To achieve this seamless integration, actual light …

We propose techniques for exploratory search in large databases. The goal is to provide
new functionality that aids users in homing in on the right query conditions to find what they …

This paper introduces the notion of temporally constrained ranked retrieval, which, given a
query and a time constraint, produces the best possible ranked list within the specified time …

In this paper, we address the problem of joining ranked results produced by two or more
services on the web. We consider services endowed with two kinds of access that are often …

The top-k query is employed in a wide range of applications to generate a ranked list of data
that have the highest aggregate scores over certain attributes. As the pool of attributes for …

For effectively searching the Web of data, ranking of results is a crucial. Top-k processing
strategies have been proposed to allow an efficient processing of such ranked queries. Top …

Term proximity scoring is an established means in information retrieval for improving result
quality of full-text queries. Integrating such proximity scores into efficient query processing …

We revisit the problem of large-scale assortment optimization under the multinomial logit
choice model without any assumptions on the structure of the feasible assortments. Scalable …

Top-k query processing techniques are useful in unstructured peer-to-peer (P2P) systems, to
avoid overwhelming users with too many results. However, existing approaches suffer from …