Paper Info
Title
An Analysis of Bloggers, Topics and Tags for a Blog Recommender System
Abstract
Over the past few years the web has experienced an exponential growth in the use of weblogs or blogs, web sites containing journal-style entries presented in reverse chronological order. In this paper we provide an analysis of the type of recommendation strategy suitable for this domain. We introduce measures to characterise the blogosphere in terms of blogger and topic drift and we demonstrate how these measures can be used to construct a plausible explanation for blogger behaviour. We show that the blog domain is characterised by bloggers moving frequently from topic to topic and that blogger activity closely tracks events in the real world. We then demonstrate how tag cloud information withineach cluster allows us to identify the most topic-relevant and consistent blogs in each cluster. We briefly describe how we plan to integrate this work within the SIOC framework.
Year
DOI
Venue
2006
10.1007/978-3-540-74951-6_1
WebMine
Keywords
DocType
Volume
consistent blogs,exponential growth,blogger behaviour,journal-style entry,sioc framework,blog domain,plausible explanation,web site,topic drift,blogger activity,blog recommender system,recommender system
Conference
4737
ISSN
Citations 
PageRank 
0302-9743
10
0.66
References 
Authors
12
3
Name
Order
Citations
PageRank
Conor Hayes151646.86
Paolo Avesani2131189.56
Uldis Bojars335732.14