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» Information Retrieval in Folksonomies: Search and Ranking
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CIKM
2005
Springer
14 years 1 months ago
ViPER: augmenting automatic information extraction with visual perceptions
In this paper we address the problem of unsupervised Web data extraction. We show that unsupervised Web data extraction becomes feasible when supposing pages that are made up of r...
Kai Simon, Georg Lausen
PAKDD
2009
ACM
120views Data Mining» more  PAKDD 2009»
14 years 5 months ago
Detecting Link Hijacking by Web Spammers.
Abstract. Since current search engines employ link-based ranking algorithms as an important tool to decide a ranking of sites, Web spammers are making a significant effort to man...
Masaru Kitsuregawa, Masashi Toyoda, Young-joo Chun...
WWW
2009
ACM
14 years 8 months ago
An axiomatic approach for result diversification
Understanding user intent is key to designing an effective ranking system in a search engine. In the absence of any explicit knowledge of user intent, search engines want to diver...
Sreenivas Gollapudi, Aneesh Sharma
IV
2007
IEEE
144views Visualization» more  IV 2007»
14 years 2 months ago
Visualizing Evolving Searches with EvoBerry
Studies show that roughly one-third of searches that are performed on the web require the user to initiate subsequent searches. Bates [1] theorized that with every search the user...
Edward Suvanaphen, Jonathan C. Roberts
CIKM
2008
Springer
13 years 9 months ago
Cost-effective spam detection in p2p file-sharing systems
Spam is highly pervasive in P2P file-sharing systems and is difficult to detect automatically before actually downloading a file due to the insufficient and biased description of ...
Dongmei Jia