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» Standardized Evaluation Method for Web Clustering Results
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SIGIR
2006
ACM
15 years 3 months ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...
ISI
2007
Springer
15 years 3 months ago
DOTS: Detection of Off-Topic Search via Result Clustering
— Often document dissemination is limited to a “need to know” basis so as to better maintain organizational trade secrets. Retrieving documents that are off-topic to a user...
Nazli Goharian, Alana Platt
WEBI
2005
Springer
15 years 3 months ago
Improving Web Clustering by Cluster Selection
Web page clustering is a technology that puts semantically related web pages into groups and is useful for categorizing, organizing, and refining search results. When clustering ...
Daniel Crabtree, Xiaoying Gao, Peter Andreae
EON
2007
14 years 11 months ago
Detecting Quality Problems in Semantic Metadata without the Presence of a Gold Standard
Detecting quality problems in semantic metadata is crucial for ensuring a high quality semantic web. Current approaches are primarily focused on the algorithms used in semantic met...
Yuangui Lei, Andriy Nikolov
ECIR
2008
Springer
14 years 11 months ago
Clustering Template Based Web Documents
More and more documents on the World Wide Web are based on templates. On a technical level this causes those documents to have a quite similar source code and DOM tree structure. G...
Thomas Gottron