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WWW
2005
ACM
14 years 8 months ago
Ranking definitions with supervised learning methods
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...
Jun Xu, Yunbo Cao, Hang Li, Min Zhao
WWW
2008
ACM
14 years 8 months ago
Improving web spam detection with re-extracted features
Web spam detection has become one of the top challenges for the Internet search industry. Instead of using some heuristic rules, we propose a feature re-extraction strategy to opt...
Guanggang Geng, Chunheng Wang, Qiudan Li
CIKM
2011
Springer
12 years 7 months ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...
SODA
2008
ACM
131views Algorithms» more  SODA 2008»
13 years 9 months ago
PageRank and the random surfer model
In recent years there has been considerable interest in analyzing random graph models for the Web. We consider two such models - the Random Surfer model, introduced by Blum et al....
Prasad Chebolu, Páll Melsted
SIGMOD
2010
ACM
132views Database» more  SIGMOD 2010»
13 years 2 months ago
Durable top-k search in document archives
We propose and study a new ranking problem in versioned databases. Consider a database of versioned objects which have different valid instances along a history (e.g., documents i...
Leong Hou U, Nikos Mamoulis, Klaus Berberich, Srik...