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» Recommending Join Queries via Query Log Analysis
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ICDE
2009
IEEE
120views Database» more  ICDE 2009»
11 years 8 months ago
Recommending Join Queries via Query Log Analysis
— Complex ad hoc join queries over enterprise databases are commonly used by business data analysts to understand and analyze a variety of enterprise-wide processes. However, eff...
Xiaoyan Yang, Cecilia M. Procopiuc, Divesh Srivast...
PVLDB
2008
144views more  PVLDB 2008»
11 years 1 months ago
Mining search engine query logs via suggestion sampling
Many search engines and other web applications suggest auto-completions as the user types in a query. The suggestions are generated from hidden underlying databases, such as query...
Ziv Bar-Yossef, Maxim Gurevich
WWW
2007
ACM
12 years 2 months ago
On anonymizing query logs via token-based hashing
In this paper we study the privacy preservation properties of a specific technique for query log anonymization: tokenbased hashing. In this approach, each query is tokenized, and ...
Ravi Kumar, Jasmine Novak, Bo Pang, Andrew Tomkins
AAAI
2008
11 years 4 months ago
Query-URL Bipartite Based Approach to Personalized Query Recommendation
Query recommendation is considered an effective assistant in enhancing keyword based queries in search engines and Web search software. Conventional approach to query recommendati...
Lin Li, Zhenglu Yang, Ling Liu, Masaru Kitsuregawa
CHI
2011
ACM
10 years 5 months ago
Characterizing the usability of interactive applications through query log analysis
People routinely rely on Internet search engines to support their use of interactive systems: they issue queries to learn how to accomplish tasks, troubleshoot problems, and other...
Adam Fourney, Richard Mann, Michael Terry
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