Recommender systems are a ubiquitous feature of online platforms.
Increa...
A comparison-based search algorithm lets a user find a target item t in ...
Understanding and quantifying cause and effect is an important problem i...
We study the problem of optimizing a recommender system for outcomes tha...
Imitation of expert behaviour is a highly desirable and safe approach to...
We propose a statistical model to understand people's perception of thei...
We consider the problem of searching in a set of items by using pairwise...
We present a probabilistic model of pairwise-comparison outcomes that ca...
The Internet has enabled the emergence of massive online collaborative
p...
Understanding how users navigate in a network is of high interest in man...
We address the problem of learning a ranking by using adaptively chosen
...