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» Methods for comparing rankings of search engine results
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IDEAL
2007
Springer
14 years 4 months ago
Topological Tree Clustering of Social Network Search Results
In the information age, online collaboration and social networks are of increasing importance and quickly becoming an integral part of our lifestyle. In business, social networking...
Richard T. Freeman
ICWE
2007
Springer
14 years 4 months ago
Towards Improving Web Search by Utilizing Social Bookmarks
Social bookmarking services have become recently popular in the Web. Along with the rapid increase in the amount of social bookmarks, future applications could leverage this data f...
Yusuke Yanbe, Adam Jatowt, Satoshi Nakamura, Katsu...
MIR
2010
ACM
163views Multimedia» more  MIR 2010»
14 years 22 days ago
SNDocRank: a social network-based video search ranking framework
Multimedia ranking algorithms are usually user-neutral and measure the importance and relevance of documents by only using the visual contents and meta-data. However, users’ int...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...
KES
2005
Springer
14 years 4 months ago
Detecting Search Engine Spam from a Trackback Network in Blogspace
Abstract. We aim to develop a technique to detect search engine optimization (SEO) spam websites. Specifically, we propose four methods for extracting the SEO spam entries from a ...
Masahiro Kimura, Kazumi Saito, Kazuhiro Kazama, Sh...
CIKM
2010
Springer
13 years 8 months ago
Probabilistic ranking for relational databases based on correlations
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...
Jaehui Park, Sang-goo Lee