Abstract-- Inverted files have been very successful for document retrieval, but sponsored search is different. Inverted files are designed to find documents that match the query (a...
Figures in digital documents contain important information. Current digital libraries do not summarize and index information available within figures for document retrieval. We pr...
Xiaonan Lu, James Ze Wang, Prasenjit Mitra, C. Lee...
Temporal expressions, such as between 1992 and 2000, are frequent across many kinds of documents. Text retrieval, though, treats them as common terms, thus ignoring their inherent...
Irem Arikan, Srikanta J. Bedathur, Klaus Berberich
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...