Session on Designing a Query Auto-Completion System
About the session This session is an excellent opportunity to acquire invaluable insights into the development and implementation of QAC systems from a distinguished expert in the field. It will furnish a comprehensive overview of the primary components of a typical QAC system, and familiarize you with standard suggestion ranking. Additionally, it will delve into other facets of ranking, including time-sensitive, location-sensitive, and personalized ranking. The session will further explore how session co-occurrence data can be employed to improve QAC and address concerns about managing system defects. Lastly, it will offer insights into non-prefix matching QAC and generate suggestions.
Currently associated with Microsoft India, Dr. Gupta is also an Adjunct Faculty at IIIT, Hyderabad, and a visiting faculty at Indian School of Business, Hyderabad. He completed his Master’s in Computer Science from IIT Bombay in 2007 and a PhD from UIUC in 2013. He also worked with Yahoo! Bangalore from 2005-2007. His research interests lie in the areas of deep learning, natural language processing, web mining, and data mining. He has published 150+ research papers in reputed refereed journals and conferences. He has also co-authored two books, namely, "Outlier Detection for Temporal Data" and "Information Retrieval with Verbose Queries".