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For a given query, Hakia uses Yahoo's BOSS index to determine a set of relevant results.
Identifying the relevant databases for a given query is the text database discovery problem.
Search of similar parts for a given query part is the key to avoid this problem by facilitating design reuse.
Many comparisons need to be done when searching similar (homologous) sequences for a given query sequence in these databases.
This means that sometimes unpleasant portrayals of sensitive subject matter online can affect what search results appear for a given query.
We also propose R-tree based algorithms to find the influence set for a given query point and multiple feature types.
SRC seeks a sparse linear combination on all the training data for a given query image, and makes the decision by the minimal reconstruction residual.
In this paper we present gGlOSS, a generalized Glossary-Of-Servers Server, that keeps statistics on the available databases to estimate which databases are the potentially most useful for a given query.
Relevance is a measure of how appropriate a given page is for a given query.
Reference queries help build an understanding of a site's popularity (or authority) compared to similar results for a given query.
One application for large video collections is to retrieve relevant videos for a given query video.
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