Fecha: 20 de febrero del 2015
Ponente: Evangelos Kanoulas (University of Amsterdam).
Lugar de celebración: Sala 4.17, ETSI Informática, UNED (mapa).
Information Retrieval (IR) is the study of methods for organizing and
searching large sets of heterogeneous, unstructured or semi-structured
data. The growth of the Web and the consequent need to organize and
search a vast amount of information has demonstrated the importance of
IR, while the success of web search engines has proven that IR can
provide eminently valuable tools to manage large amounts of data. The
range of tasks and information collections IR systems are applied to is
ever growing. However, the ability of researchers and developers to
build high quality searching systems for new environments is not keeping
up with the growth in potential application areas. The key reason for
this failing is the profound lack of testing resources that capture the
unique and complex environments different retrieval systems are deployed
in. The cost of building test resources is prohibitively expensive.
Consequently, researchers are unable to assess the effectiveness of new
ideas in such environments and search engine vendors struggle to tune
their systems to the particular needs of their customers. In this talk I
will discuss my work on a new evaluation paradigm for search, which
establishes an efficient and reliable test resource construction
methodology, and extend the current evaluation paradigm to incorporate
additional information about the different retrieval scenarios and users