TY - GEN
T1 - Online spam-blog detection through blog search
AU - Zhu, Linhong
AU - Sun, Aixin
AU - Choi, Byron
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - In this work, we propose a novel post-indexing spam-blog (or splog) detection method, which capitalizes on the results returned by blog search engines. More specifically, we analyze the search results of a sequence of temporallyordered queries returned by a blog search engine, and build and maintain blog profiles for those blogs whose posts frequently appear in the top-ranked search results. With the blog profiles, 4 splog scoring functions were evaluated using real data collected from a popular blog search engine. Our experiments show that the proposed method could effectively detect splogs with a high accuracy.
AB - In this work, we propose a novel post-indexing spam-blog (or splog) detection method, which capitalizes on the results returned by blog search engines. More specifically, we analyze the search results of a sequence of temporallyordered queries returned by a blog search engine, and build and maintain blog profiles for those blogs whose posts frequently appear in the top-ranked search results. With the blog profiles, 4 splog scoring functions were evaluated using real data collected from a popular blog search engine. Our experiments show that the proposed method could effectively detect splogs with a high accuracy.
KW - Experimentation
UR - http://www.scopus.com/inward/record.url?scp=70349231537&partnerID=8YFLogxK
U2 - 10.1145/1458082.1458272
DO - 10.1145/1458082.1458272
M3 - Conference proceeding
AN - SCOPUS:70349231537
SN - 9781595939913
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 1347
EP - 1348
BT - Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08
T2 - 17th ACM Conference on Information and Knowledge Management, CIKM'08
Y2 - 26 October 2008 through 30 October 2008
ER -