Research Article
BlogRank: ranking weblogs based on connectivity and similarity features
@INPROCEEDINGS{10.1145/1190183.1190193, author={Apostolos Kritikopoulos and Martha Sideri and Iraklis Varlamis}, title={BlogRank: ranking weblogs based on connectivity and similarity features}, proceedings={The Second International Workshop on Advanced Architectures and Algorithms for Internet DElivery and Applications}, publisher={ACM}, proceedings_a={AAA-IDEA}, year={2012}, month={4}, keywords={Rank Weblogs Graph based ranking PageRank}, doi={10.1145/1190183.1190193} }
- Apostolos Kritikopoulos
Martha Sideri
Iraklis Varlamis
Year: 2012
BlogRank: ranking weblogs based on connectivity and similarity features
AAA-IDEA
ACM
DOI: 10.1145/1190183.1190193
Abstract
A large part of the hidden web resides in weblog servers; traditional search engines perform poorly on blogs. We present a method for ranking weblogs utilizing both link graph and similarity, and based on an enhanced and weighted graph of weblogs capturing crucial weblog features. Rankings are then assigned using our algorithm, BlogRank, which is a modified version of PageRank.To validate our method we ran experiments on a weblog dataset, processed and adapted to our search engine: http://spiderwave.aueb.gr/BlogwaveOur experiments suggest that our algorithm enhances the quality of returned results
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