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b style="display: block; color: #001449; margin-bottom: 16px; text-transfor
m: uppercase; text-align: center; font-size: 16px;">About the session T
his session is an excellent opportunity to acquire invaluable insights into
the development and implementation of QAC systems from a distinguished exp
ert in the field. It will furnish a comprehensive overview of the primary c
omponents of a typical QAC system, and familiarize you with standard sugges
tion ranking. Additionally, it will delve into other facets of ranking, inc
luding time-sensitive, location-sensitive, and personalized ranking. The se
ssion will further explore how session co-occurrence data can be employed t
o improve QAC and address concerns about managing system defects. Lastly, i
t will offer insights into non-prefix matching QAC and generate suggestions
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ly associated with Microsoft India, Dr. Gupta is also an Adjunct Faculty at
IIIT, Hyderabad, and a visiting faculty at Indian School of Business, Hyde
rabad. He completed his Master’s in Computer Science from IIT Bombay in 200
7 and a PhD from UIUC in 2013. He also worked with Yahoo! Bangalore from 20
05-2007. His research interests lie in the areas of deep learning, natural
language processing, web mining, and data mining. He has published 150+ res
earch papers in reputed refereed journals and conferences. He has also co-a
uthored two books, namely, "Outlier Detection for Temporal Data" and "Infor
mation Retrieval with Verbose Queries". |
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