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SIGIR
2012
ACM
11 years 8 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
TKDE
2012
312views Formal Methods» more  TKDE 2012»
11 years 8 months ago
Efficient Fuzzy Type-Ahead Search in XML Data
—In a traditional keyword-search system over XML data, a user composes a keyword query, submits it to the system, and retrieves relevant answers. In the case where the user has l...
Jianhua Feng, Guoliang Li
INEX
2004
Springer
13 years 11 months ago
Component Ranking and Automatic Query Refinement for XML Retrieval
Queries over XML documents challenge search engines to return the most relevant XML components that satisfy the query concepts. In a previous work[6] we described an algorithm to ...
Yosi Mass, Matan Mandelbrod
PVLDB
2008
156views more  PVLDB 2008»
13 years 5 months ago
eXtract: a snippet generation system for XML search
Snippets are used by almost every text search engine to complement ranking schemes in order to effectively handle user keyword search. Despite the fact that XML is a standard repr...
Yu Huang, Ziyang Liu, Yi Chen
CIKM
2009
Springer
13 years 9 months ago
Effective, design-independent XML keyword search
Keyword search techniques that take advantage of XML structure make it very easy for ordinary users to query XML databases, but current approaches to processing these queries rely...
Arash Termehchy, Marianne Winslett