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NAACL
2010
14 years 7 months ago
Learning Dense Models of Query Similarity from User Click Logs
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
Fabio De Bona, Stefan Riezler, Keith Hall, Massimi...
SISAP
2008
IEEE
147views Data Mining» more  SISAP 2008»
15 years 3 months ago
An Empirical Evaluation of a Distributed Clustering-Based Index for Metric Space Databases
Similarity search has been proved suitable for searching in very large collections of unstructured data objects. We are interested in efficient parallel query processing under si...
Veronica Gil Costa, Mauricio Marín, Nora Re...
TKDE
2008
171views more  TKDE 2008»
14 years 9 months ago
Efficient Similarity Search in Nonmetric Spaces with Local Constant Embedding
Similarity-based search has been a key factor for many applications such as multimedia retrieval, data mining, Web search and retrieval, and so on. There are two important issues r...
Lei Chen 0002, Xiang Lian
MTA
2010
175views more  MTA 2010»
14 years 7 months ago
Building a web-scale image similarity search system
As the number of digital images is growing fast and Content-based Image Retrieval (CBIR) is gaining in popularity, CBIR systems should leap towards Webscale datasets. In this paper...
Michal Batko, Fabrizio Falchi, Claudio Lucchese, D...
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
15 years 9 months ago
Identifying Similarities, Periodicities and Bursts for Online Search Queries
We present several methods for mining knowledge from the query logs of the MSN search engine. Using the query logs, we build a time series for each query word or phrase (e.g., `Th...
Michail Vlachos, Christopher Meek, Zografoula Vage...