Michael Peter Christen df3314ac1a added a new facet type based on a probabilistic classifier using ... bayesian filters. This can be used to classify documents during indexing-time using a pre-definied bayesian filter. New wordings: - a context is a class where different categories are possible. The context name is equal to a facet name. - a category is a facet type within a facet navigation. Each context must have several categories, at least one custom name (things you want to discover) and one with the exact name "negative". To use this, you must do: - for each context, you must create a directory within DATA/CLASSIFICATION with the name of the context (the facet name) - within each context directory, you must create text files with one document each per line for every categroy. One of these categories MUST have the name 'negative.txt'. Then, each new document is classified to match within one of the given categories for each context.		2015-08-10 14:27:44 +02:00
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AccessTracker.java	enhanced timezone managament for indexed data:	2015-04-15 13:17:23 +02:00
HeuristicResult.java	tried to clean up the search process mess	2012-11-01 17:16:43 +01:00
QueryGoal.java	fix typo in image filter query	2015-04-28 03:12:14 +02:00
QueryModifier.java	removed warnings	2015-08-03 05:37:34 +02:00
QueryParams.java	added a new facet type based on a probabilistic classifier using	2015-08-10 14:27:44 +02:00
SearchEvent.java	added a new facet type based on a probabilistic classifier using	2015-08-10 14:27:44 +02:00
SearchEventCache.java	Added a “don't store remote search results” option	2015-01-04 11:10:45 +01:00
SearchEventType.java	tried to clean up the search process mess	2012-11-01 17:16:43 +01:00
SecondarySearchSuperviser.java	Added 'final' for all exception blocks as this helps the Java compiler	2013-07-17 18:31:30 +02:00