Abstract Most ranking algorithms are based on the optimization of some loss functions, such as the pairwise loss. However, these loss functions are often different from the criter...
Traditional benchmarking methods for information retrieval (IR) are based on experimental performance evaluation. Although the metrics precision and recall can measure the perform...
Dawei Song, Kam-Fai Wong, Peter Bruza, Chun Hung C...
The problem of Music Information Retrieval can often be formalized as “searching for multidimensional trajectories”. It is well known that string-matching techniques provide r...
Applying Belief Revision logic to model adaptive information retrieval is appealing since it provides a rigorous theoretical foundation to model partiality and uncertainty inheren...
Determining similarities among multimedia objects is a fundamental task in many content-based retrieval, analysis, mining, and exploration applications. Among state-of-the-art sim...