Cura Te Ipsum: Health Search at Google

Joint Seminar
Big Data Institute
Department of Computer Science & Engineering

Speaker:        Dr. Evgeniy Gabrilovich
                Senior Research Scientist

Title:          "Cura Te Ipsum: Health Search at Google"

Date:           Wednesday, 19 July 2017

Time:           4:00pm - 5:00pm

Venue:          Lecture Theater F (near lift 25-26), HKUST


Approximately one percent of all Google searches are symptom-related, as
users are conducting online research on pertinent medical conditions. In
this talk, he will discuss the recently launched symptom search experience
on Google. We use machine learning methods to identify queries with
condition-seeking intent. We extract relevant health conditions by
analyzing the web search results as well as by consulting the Knowledge
Graph. Finally, we learn a ranker for ordering the list of relevant
conditions, and evaluate the system performance with medical doctors.


Dr. Evgeniy Gabrilovich is a senior staff research scientist at Google,
where he works on improving healthcare. Prior to joining Google in 2012,
he was a director of research and head of the natural language processing
and information retrieval group at Yahoo! Research. Evgeniy is an ACM
Distinguished Scientist, and is a recipient of the 2014 IJCAI-JAIR Best
Paper Prize. He is also a recipient of the 2010 Karen Sparck Jones Award
for his contributions to natural language processing and information
retrieval. Evgeniy has served as a program chair for WWW 2017 and WSDM
2015. He earned his PhD in computer science from the Technion - Israel
Institute of Technology. Recently, he graduated (with extra credit) from
the Executive MD training program at Harvard Medical School.