A central question in multi-agent strategic games deals with learning the underlying utilities driving the agents' behaviour. Motivated by the increasing availability of large data-sets, we develop an unifying data-driven technique to estimate agents' util ...
Scrub is a troubleshooting tool for distributed applications that operate under strict SLOs common in production environments. It allows users to formulate queries on events occurring during execution in order to assess the correctness of the application’s ...
Learning about users’ utilities from preference, discrete choice or implicit feedback data is of integral importance in e-commerce, targeted advertising and web search. Due to the sparsity and diffuse nature of data, Bayesian approaches hold much promise, ...
Online advertising is at the core of today’s Web: it is the main business model, generating large annual revenues expressed in tens of billions of dollars that sponsor most of the online content and services. Online advertising consists of delivering marke ...
Some ISPs are trying to become part of the online advertising market. Such ISPs either: (i) cooperate with online advertising entities (e.g., ad networks) by providing users’ private information to achieve better ad targeting in exchange for a share of the ...
The present invention concerns a method of segmenting a media item comprising media elements. The method comprises: selecting a first seed media element for a first cluster of media elements, referred to hereinafter as a first adaptel; selecting a second s ...
