The problem of eciently retrieving and ranking documents from a huge collection according to their relevance to a research topic is addressed. A broad class of queries is dened a...
: Some measures such as mean average precision and recall level precision are considered as good system-oriented measures, because they concern both precision and recall that are t...
In this paper, we discuss how to present the result of searching elements of any type from XML documents relevant to some information need (relevance-oriented search). As the resu...
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Geographic Information Retrieval (GIR) community has generally accepted the thesis that both thematic and geographic aspect of documents may be useful for GIR. This paper describe...