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» Pipelined Query Processing in the DBGraph Storage Model
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WWW
2010
ACM
14 years 2 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
WWW
2008
ACM
14 years 8 months ago
Using the wisdom of the crowds for keyword generation
In the sponsored search model, search engines are paid by businesses that are interested in displaying ads for their site alongside the search results. Businesses bid for keywords...
Ariel Fuxman, Panayiotis Tsaparas, Kannan Achan, R...
CIKM
2007
Springer
14 years 1 months ago
Parameter sensitivity in the probabilistic model for ad-hoc retrieval
The term frequency normalisation parameter sensitivity is an important issue in the probabilistic model for Information Retrieval. A high parameter sensitivity indicates that a sl...
Ben He, Iadh Ounis
ADBIS
2000
Springer
91views Database» more  ADBIS 2000»
13 years 11 months ago
Efficient Region Query Processing by Optimal Page Ordering
A number of algorithms of clustering spatial data for reducing the number of disk seeks required to process spatial queries have been developed. One of the algorithms is the scheme...
Daesoo Cho, Bonghee Hong
SIGMOD
2011
ACM
219views Database» more  SIGMOD 2011»
12 years 10 months ago
Context-sensitive ranking for document retrieval
We study the problem of context-sensitive ranking for document retrieval, where a context is defined as a sub-collection of documents, and is specified by queries provided by do...
Liang Jeff Chen, Yannis Papakonstantinou