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» Using Queries to Improve Database Reverse Engineering
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ITCC
2003
IEEE
15 years 3 months ago
A Method for Calculating Term Similarity on Large Document Collections
We present an efficient algorithm called the Quadtree Heuristic for identifying a list of similar terms for each unique term in a large document collection. Term similarity is de...
Wolfgang W. Bein, Jeffrey S. Coombs, Kazem Taghva
CIKM
2010
Springer
14 years 8 months ago
A structured approach to query recommendation with social annotation data
Query recommendation has been recognized as an important mean to help users search and also improve the usability of search engines. Existing approaches mainly focus on helping us...
Jiafeng Guo, Xueqi Cheng, Gu Xu, Huawei Shen
SIGIR
2009
ACM
15 years 4 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
CVPR
2007
IEEE
15 years 12 months ago
City-Scale Location Recognition
We look at the problem of location recognition in a large image dataset using a vocabulary tree. This entails finding the location of a query image in a large dataset containing 3...
Grant Schindler, Matthew Brown, Richard Szeliski
VLDB
1990
ACM
106views Database» more  VLDB 1990»
15 years 1 months ago
The Time Index: An Access Structure for Temporal Data
In this paper, we describe a new indexing technique, the time indez, for improving the performance of certain classes of temporal queries. The time index can be used to retrieve v...
Ramez Elmasri, Gene T. J. Wuu, Yeong-Joon Kim