This class is responsible for predicting top-k suggestions for textual data using TF-IDF based cosine similarity approach and checking if a document for a semantic label already exists
@author ramnandan
Describes how to search a bunch of vectors. The vectors can be of any type (weighted, sparse, ...) but only the values of the vector matter when searching (weights, indices, ...) will not. When iterating through a Searcher, the Vectors added to it are returned.
Describes how to search a bunch of vectors. The vectors can be of any type (weighted, sparse, ...) but only the values of the vector matter when searching (weights, indices, ...) will not. When iterating through a Searcher, the Vectors added to it are returned.
Searcher executes full text queries against list of nodes and returns nodes that match the query in the order of relevance (score) - most relevant results will be return first.
Query syntax is the same as syntax of Lucene query, except it does not use field names.
@version $Revision: 584476 $, $Date: 2007-10-13 22:41:50 -0400 (Sat, 13 Oct 2007) $
A searcher is able to perform artifact info searches based on key/value search terms. Note that this is an intermediate step towards future Nexus pluggable indexing and should not be considered public api.
@author Alin Dreghiciu
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