Where Search Meets Machine Learning
As we countdown to the annual Lucene/Solr Revolution conference in Boston this October, we’re highlighting talks and sessions from past conferences. Today, we’re highlighting Verizon’s Joaquin Delgado and Diana Hu’s talk, “Where Search Meets Machine Learning”.
Joaquin and Diana discuss ML-Scoring, an open source framework they’ve created that tightly integrates machine learning models into popular search engines, replacing the default IR-based ranking function.
Joaquin A. Delgado, PhD. is currently Director of Advertising and Recommendations at OnCue (acquired by Verizon). Previous to that he held CTO positions at AdBrite, Lending Club and TripleHop Technologies (acquired by Oracle). He was also Director of Engineering and Sr. Architect Principal at Yahoo! His expertise lies on distributed systems, advertising technology, machine learning, recommender systems and search. He holds a Ph.D in computer science and artificial intelligence from Nagoya Institute of Technology, Japan.
Diana Hu is currently the lead data scientist on the architecture team at Verizon OnCue. She steers the algorithm efforts to bring models from research to production in machine learning, NLP, and computer vision TV projects in recommender systems and advertising. Previously, she worked at Intel labs, where she researched large scale machine learning frameworks. She holds an MS and BS in Electrical and Computer Engineering from Carnegie Mellon University where she graduated with highest honors and was inducted into the Electrical Engineering Honor Society – Eta Kappa Nu.
Join us at Lucene/Solr Revolution 2016, the biggest open source conference dedicated to Apache Lucene/Solr on October 11-14, 2016 in Boston, Massachusetts. Come meet and network with the thought leaders building and deploying Lucene/Solr open source search technology. Full details and registration…
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