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» Ranking with Uncertain Scores
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PVLDB
2008
118views more  PVLDB 2008»
14 years 11 months ago
Efficient top-k processing over query-dependent functions
We study the efficient evaluation of top-k queries over data items, where the score of each item is dynamically computed by applying an item-specific function whose parameter valu...
Lin Guo, Sihem Amer-Yahia, Raghu Ramakrishnan, Jay...
PAKDD
2009
ACM
120views Data Mining» more  PAKDD 2009»
15 years 9 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...
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
15 years 6 months ago
Adaptive Spike Detection for Resilient Data Stream Mining
Automated adversarial detection systems can fail when under attack by adversaries. As part of a resilient data stream mining system to reduce the possibility of such failure, adap...
Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee,...
WISE
2005
Springer
15 years 5 months ago
Document Re-ranking by Generality in Bio-medical Information Retrieval
Document ranking is well known to be a crucial process in information retrieval (IR). It presents retrieved documents in an order of their estimated degrees of relevance to query. ...
Xin Yan, Xue Li, Dawei Song
SIGIR
2005
ACM
15 years 5 months ago
Relevance weighting for query independent evidence
A query independent feature, relating perhaps to document content, linkage or usage, can be transformed into a static, per-document relevance weight for use in ranking. The challe...
Nick Craswell, Stephen E. Robertson, Hugo Zaragoza...