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Study Findings from University of A Coruna Broaden Understanding of Information Technology (Score distributions for Pseudo Relevance Feedback)

July 1, 2014



By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Current study results on Information Technology have been published. According to news originating from La Coruna, Spain, by VerticalNews correspondents, research stated, "Relevance-Based Language Models, commonly known as Relevance Models, are successful approaches to explicitly introduce the concept of relevance in the statistical language modelling framework of Information Retrieval. These models achieve state-of-the-art retrieval performance in the Pseudo Relevance Feedback task."

Our news journalists obtained a quote from the research from the University of A Coruna, "It is known that one of the factors that more affect to the Pseudo Relevance Feedback robustness is the selection for some queries of harmful expansion terms. In order to minimise this effect in these methods a crucial point is to reduce the number of non-relevant documents in the pseudo relevant set. In this paper, we propose an original approach to tackle this problem. We try to automatically determine for each query how many documents we should select as pseudo-relevant set. For achieving this objective we will study the score distributions of the initial retrieval and trying to discern in base of their distribution between relevant and non-relevant documents."

According to the news editors, the research concluded: "Evaluation of our proposal showed important improvements in terms of robustness."

For more information on this research see: Score distributions for Pseudo Relevance Feedback. Information Sciences, 2014;273():171-181. Information Sciences can be contacted at: Elsevier Science Inc, 360 Park Ave South, New York, NY 10010-1710, USA. (Elsevier - www.elsevier.com; Information Sciences - www.elsevier.com/wps/product/cws_home/505730)

The news correspondents report that additional information may be obtained from J. Parapar, Univ A Coruna, Dept. of Comp Sci, Informat Retrieval Lab, La Coruna 15071, Spain. Additional authors for this research include M.A. Presedo-Quindimil and A. Barreiro.

Keywords for this news article include: Spain, Europe, La Coruna, Information Technology

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Information Technology Newsweekly


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