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Authors: Marco Buijs and Marco Spruit

Affiliation: Utrecht University, Netherlands

ISBN: 978-989-758-048-2

Keyword(s): Social Score, PageRank, Web Search, Top-K Ranking, Quality Assessment, Data Analytics, Information Extraction.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaborative Filtering ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Software Development ; Symbolic Systems

Abstract: There are many ways to determine the importance of Webpages, the most successful one being the PageRank algorithm. In this paper we describe an alternative ranking method that we call the Social Score method. The Social Score of a Webpage is based on the number of likes, tweets, bookmarks and other sorts of intensified information from Social Media platforms. By determining the importance of Webpages based on this kind of information, ranking becomes based on a democratic system instead of a system in which only web authors influence the ranking of results. Based on an experiment we conclude that the Social Score is a great alternative to PageRank that could be used as an additional property to take into account in Web Search Engines.

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Paper citation in several formats:
Buijs M. and Spruit M. (2014). The Social Score - Determining the Relative Importance of Webpages Based on Online Social Signals.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014) ISBN 978-989-758-048-2, pages 71-77. DOI: 10.5220/0005076400710077

@conference{kdir14,
author={Marco Buijs and Marco Spruit},
title={The Social Score - Determining the Relative Importance of Webpages Based on Online Social Signals},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)},
year={2014},
pages={71-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005076400710077},
isbn={978-989-758-048-2},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)
TI - The Social Score - Determining the Relative Importance of Webpages Based on Online Social Signals
SN - 978-989-758-048-2
AU - Buijs M.
AU - Spruit M.
PY - 2014
SP - 71
EP - 77
DO - 10.5220/0005076400710077

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