Founder @ Searchkernel, author of
AI-Powered Search and Solr in Action, startup Advisor, researcher/ public speaker on search, relevance & ranking, recommendation systems, and natural language processing.
Paper Abstract: In the big data era, scalability has become a crucial requirement for any useful computational model. Probabilistic graphical models are very useful for mining and discovering data insights, but they are not scalable enough to be suitable for big data problems. Bayesian Networks particularly demonstrate this limitation when their data is represented using […]
I was fortunate to be able to speak last week (along with Joe Streeky, my Search Infrastructure Development Manager) at the very first Atlanta Solr Meetup held at Atlanta Tech Village. The talk covered how we scale Solr at CareerBuilder to power our recommendation engine, semantic search platform, and big data analytics products. Thanks to […]
Paper Abstract: Common difficulties like the cold-start problem and a lack of sufficient information about users due to their limited interactions have been major challenges for most recommender systems (RS). To overcome these challenges and many similar ones that result in low accuracy (precision and recall) recommendations, we propose a novel system that extracts semantically-related […]
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