This paper presents a probabilistic information retrieval framework in which the retrieval problem is formally treated as a statistical decision problem. In this framework, querie...
Search and retrieval of specific musical content such as emotive or sonic features has become an important aspect of Music Information Retrieval system development, but only little...
Micheline Lesaffre, Marc Leman, Jean-Pierre Marten...
Abstract This paper reports our evaluation of the accuracy of capturing a user’s intent in an informationseeking task. Specifically, we would like to assess how accurately a use...
In the majority of existing work in music information retrieval (MIR) the user interacts with the system using standard desktop components such as the keyboard, mouse or sometimes...
Ajay Kapur, Richard I. McWalter, George Tzanetakis
This paper proposes extending semi-supervised learning by allowing an ongoing interaction between a user and the system. The extension is intended to not only to speed up search fo...