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» Agglomerative clustering of a search engine query log
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CIKM
2009
Springer
14 years 1 months ago
Identifying comparable entities on the web
Web search engines are often presented with user queries that involve comparisons of real-world entities. Thus far, this interaction has typically been captured by users submittin...
Alpa Jain, Patrick Pantel
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 7 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
ESWS
2005
Springer
14 years 9 days ago
AquaLog: An Ontology-Portable Question Answering System for the Semantic Web
As semantic markup becomes ubiquitous, it will become important to be able to ask queries and obtain answers, using natural language (NL) expressions, rather than the keyword-based...
Vanessa Lopez, Michele Pasin, Enrico Motta
KDD
2002
ACM
169views Data Mining» more  KDD 2002»
14 years 7 months ago
Optimizing search engines using clickthrough data
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
Thorsten Joachims
PDP
2008
IEEE
14 years 1 months ago
Bulk-Synchronous On-Line Crawling on Clusters of Computers
This paper describes the design of a crawler devised to perform the periodic retrieval of Web documents for a search engine able to accept on-line updates in a concurrent manner. ...
Mauricio Marín, Carolina Bonacic