Lecture Notes in Computer Science Volume 4675, 2007, pp 5062. Improved Publication Scores for Online Digital Libraries Via. Research Pyramids. Abstract.
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Improved Publication Scores for Online Digital Libraries Via Research Pyramids Abstract Ranking publications of Online Digital Libraries (ODLs) is useful for (i) providing comparative assessment of publications and (ii) listing relevant ODL search results first in search outputs, enabling users to aggregate pertinent results quickly and easily. Studies show that effective citationbased scoring functions, namely, PageRank, HITS and Citation Count, are highly skewed, and have accuracy problems, possibly due to topic diffusion. In this paper, based on the notion of research pyramids, we propose an a priori technique to assign more effective publication scores. Using the ACM SIGMOD Anthology ODL as a testbed, we show that our approach provides more accurate and less skewed publication scores. Page %P Page 1
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About this Chapter Title Improved Publication Scores for Online Digital Libraries Via Research Pyramids Book Title Research and Advanced Technology for Digital Libraries Book Subtitle 11th European Conference, ECDL 2007, Budapest, Hungary, September 1621, 2007. Proceedings Pages pp 5062 Copyright 2007 DOI 10.1007/9783540748519_5 Print ISBN 9783540748502 Online ISBN 9783540748519 Series Title Lecture Notes in Computer Science Series Volume 4675 Series ISSN 03029743 Publisher Springer Berlin Heidelberg Copyright Holder SpringerVerlag Berlin Heidelberg Additional Links
About this Book Topics Information Storage and Retrieval Database Management Information Systems Applications (incl.Internet) Multimedia Information Systems User Interfaces and Human Computer Interaction Document Preparation and Text Processing Industry Sectors Electronics Telecommunications IT & Software eBook Packages eBook Package english Computer Science eBook Package english full Collection Editors László Kovács Norbert Fuhr Carlo Meghini Authors Sulieman BaniAhmad (1) Gultekin Ozsoyoglu (1) Author Affiliations 1. Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio 44106,
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