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» Relevance Evaluation of Search Engines' Query Results
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IADIS
2004
15 years 7 months ago
'surfing for knowledge' finding semantically similar Web clusters
In this paper we present our technique for finding semantically similar clusters within web documents obtained from a set of queries retrieved from the Google search engine. This ...
David Cleary, Diarmuid O'Donoghue
FEDCSIS
2011
87views more  FEDCSIS 2011»
14 years 6 months ago
Enhanced CakES representing Safety Analysis results of Embedded Systems
—Nowadays, embedded systems are widely used. It is extremely difficult to analyze safety issues in embedded systems, to relate the safety analysis results to the actual parts, a...
Yasmin I. Al-Zokari, Daniel Schneider, Dirk Zeckze...
ICDE
2003
IEEE
170views Database» more  ICDE 2003»
16 years 7 months ago
Keyword Proximity Search on XML Graphs
XKeyword provides efficient keyword proximity queries on large XML graph databases. A query is simply a list of keywords and does not require any schema or query language knowledg...
Vagelis Hristidis, Yannis Papakonstantinou, Andrey...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
16 years 1 months ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel
CORR
2011
Springer
201views Education» more  CORR 2011»
14 years 10 months ago
On the Weakenesses of Correlation
The correlation of the result lists provided by search engines is fundamental and it has deep and multidisciplinary ramifications. Here, we present automatic and unsupervised met...
Paolo D'Alberto, Ali Dasdan