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DESCRIPTION:Click for Latest Location Information: http://smartdata2015.dataversity.net/sessionPop.cfm?confid=91&proposalid=7832\nBooz Allen Hamilton is applying Deep Learning to advance the state of the art for Recommendation Engines by fusing personalized collaborative recommenders with semantic understanding and relationships derived by deep learning algorithms. All sites strive to provide recommendation and personalization, however curating all the content for content based filtering is extremely laborious while collaborative filtering for a new site suffers from the "cold start" problem, as there is no history of user interaction to leverage. Advanced Deep Learning algorithms for Natural Language Processing allow the automated processing of the content of a site, producing semantic understanding, relationships and simple recommendations, paving the way for rich recommendations and personalization, derived from both the interaction and the actual content of the items.
DTSTART:20150819T164500
SUMMARY:Applying Deep Learning to Recommender Systems - Making Smart Systems Smarter
DTEND:20150819T172959
LOCATION: See Description
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