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.
Today, I was in Montreal, Quebec, Canada presenting a research paper entitled “The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain“. I presented the paper at the 2016 IEEE 3rd International Conference on Data Science and Advanced Analytics, where the paper was accepted for publication. […]
Lucene/Solr Revolution is always my favorite conference of the year, and I was invited to present again this year in the great city of Boston, MA. It was a fun presentation, representing a whirlwind tour through numerous open sourced extensions within the larger Apache Solr Ecosystem (The Semantic Knowledge Graph, the Solr Text Tagger, a […]
I was honored to be invited to present today, along with Khalifeh AlJadda, Lead Data Scientist at CareerBuilder, to a group of nearly 200 Georgia Tech graduate students and other members of the larger Georgia tech community. We thank Dr. Polo Chau and his Data and Visual Analytics class for inviting us and sponsoring the […]
After 8.5 years at CareerBuilder – most recently as Director of Engineering over search, recommendations, and data analytics, I’m making an exciting transition to join Lucidworks as their new Senior Vice President of Engineering. While it’s bittersweet to be saying goodbye to my amazing team and colleagues at CareerBuilder, I also couldn’t be more excited […]
I was invited to speak on 2015.11.10 at the Bay Area Search Meetup in San Jose, CA. With over 175 people marked as attending (and several more on the waitlist who showed up), we had a very exciting and lively discussion for almost 2 hours (about 1/2 was my presentation, with the other half being […]
Paper Abstract: As the ability to store and process massive amounts of user behavioral data increases, new approaches continue to arise for leveraging the wisdom of the crowds to gain insights that were previously very challenging to discover by text mining alone. For example, through collaborative filtering, we can learn previously hidden relationships between items […]
I was excited to be selected again this year to present at Lucene/Solr Revolution 2015 in Austin, Texas. My talk today focused on one the main areas of focus for me over the last year – building out a highly relevant and intelligent semantic search system. While I described and provided demos on the capabilities […]
I was invited to present again this year at Lucene/Solr Revolution 2014 in Washington, D.C. My presentation took place this afternoon and covered the topic of “Semantic & Mulilingual Strategies in Lucene/Solr. The material was taken partially from the extensive Multilingual Search chapter (ch. 14) in Solr in Action and from some of the exciting […]
My team was fortunate to have 2 papers accepted for publication through the 2014 IEEE International Conference on Big Data, held last week in Washington, D.C. I presented one of the papers titled “Crowdsourced Query Augmentation through the Semantic Discovery of Domain-specific Jargon.” The slides and video (coming soon) are posted below for anyone who […]
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 […]
