The size of the Web as well as user bases of search systems continue to grow exponentially. Consequently, providing subsecond query response times and high query throughput become...
Roi Blanco, Berkant Barla Cambazoglu, Claudio Lucc...
Empirical modeling of the score distributions associated with retrieved documents is an essential task for many retrieval applications. In this work, we propose modeling the releva...
This paper deals with the application of natural language processing techniques to the field of information retrieval. To be precise, we propose the application of morphological f...
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...
A number of approaches for automatic audio classification are based on hierarchical taxonomies since it is acknowledged that improved performance can be thereby obtained. In this...