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OpenSource Connections to present at DC Hadoop User Group

OpenSource Connections is investigating the use of Mahout(/Hadoop) to incorporate recommendations and Latent Semantic Indexing (LSI) into Solr search. In this fast-paced talk well cover the theory behind recommenders and LSI (two-sides of the same coin), well discuss why this project is a Big Data project and well present our approach using a combination of Solr and Mahout (via Hadoop). Our approach to presentation is very conversational, so there will be plenty of opportunities for question and answer.

Speakers

Doug Turnbull loves learning about data structures. As a bit twiddler, Doug spearheaded performance gains on his companys C++ product. Now as a Big Data and Search consultant, Doug enjoys learning about the guts of todays broad variety of NoSQL options and applying that knowledge to customer solutions. Doug enjoys hacking on Python, C++, Java and is an enthusiastic participant on Stackoverflow.

Coming from a background of Aerospace Engineering, John Berryman soon discovered that his true interest lay at the intersections of information technology and entrepreneurship (and when applicable – math). In early 2011, John stepped away from his day job to take up software consulting. Finally John found permanent employment at Opensource Connections where he currently consults large enterprises about full-text search and Big Data applications. Highlights to this point have included prototyping the future of search with the US Patent and Trademark Office, implementing the search syntax used by patent examiners, and building a Solr search relevancy tuning framework called SolrPanl.