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» Adaptive Selectivity Estimation Using Query Feedback
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DASFAA
2007
IEEE
173views Database» more  DASFAA 2007»
14 years 1 months ago
Towards Adaptive Information Merging Using Selected XML Fragments
As XML information proliferates on the Web, searching XML information via a search engine is crucial to the experience of both casual and experienced Web users. The returned XML fr...
Ho Lam Lau, Wilfred Ng
TKDE
2008
116views more  TKDE 2008»
13 years 7 months ago
Long-Term Cross-Session Relevance Feedback Using Virtual Features
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
SIGMOD
2007
ACM
150views Database» more  SIGMOD 2007»
14 years 7 months ago
Exploiting self-monitoring sample views for cardinality estimation
Good cardinality estimates are critical for generating good execution plans during query optimization. Complex predicates, correlations between columns, and user-defined functions...
Jingren Zhou, Per-Åke Larson, Peter Zabback,...
IAAI
2011
12 years 7 months ago
NewsFinder: Automating an Artificial Intelligence News Service
NewsFinder automates the steps involved in finding, selecting and publishing news stories that meet subjective judgments of relevance and interest to the Artificial Intelligence c...
Liang Dong, Reid G. Smith, Bruce G. Buchanan
ECIR
2010
Springer
13 years 8 months ago
Improving Retrievability of Patents in Prior-Art Search
Prior-art search is an important task in patent retrieval. The success of this task relies upon the selection of relevant search queries. Typically terms for prior-art queries are ...
Shariq Bashir, Andreas Rauber