Mitch Pronschinske 
Adapting Ajax-Solr to Compare Document sets
Email
This search technology content is part of the Solr-Lucene Microzone, supported by Lucid Imagination, a company of Solr/Lucene all-stars that provides free distributions, training, and a search application development platform called LucidWorks Enterprise.
One of the main features of Solr is Faceted Search. Facets are the top
terms present in the results of a query. But facets do not indicate the
most statistically relevant terms of a query, that is, these terms that
are more present in the documents selected by the query than in the rest
of the collection. A critical factor in making such statistical
insights broadly useful is to make them visual i.e., using charts and
graphs that display these quantitative relationships. We will present
how to adapt Ajax-Solr to find the most prominent terms of a query
compared to the full set or just another query. We are going to present
and example on how this can be used to find current topics in the news,
and extract that information into visually communicative charts and
graphs
Tags:
(Note: Opinions expressed in this article and its replies are the opinions of their respective authors and not those of DZone, Inc.)
This content on search technology is part of the Solr-Lucene Microzone, supported by Lucid Imagination. They can help you harness the full potential of search through their enterprise Solr development platform—LucidWorks Enterprise—which can make your production process simpler and more cost-efficient with open source configurability.
