Abstract de la publi numéro 17133
In this paper, we study the use of class-vertical preferences (cvp) for aggregated search (AS). Our aim is multiple: a) support the vertical selection process when queries include named entities, b) fill the vacuum in research of available features for AS. Our studies show that class-vertical preferences (cvp) are reliable. Different taxonomies are analyzed. By comparing 5 systems, we show that class-level preferences can improve significantly web search: we double recall without introducing false positives and unimportant results.