The Social Score - Determining the Relative Importance of Webpages Based on Online Social Signals

Marco Buijs, Marco Spruit

2014

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 Harvard Style

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

in Bibtex Style

@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},
}


in EndNote Style

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