Benefits Maximization in Outdoor Advertising: When the Influence Provider Meets Influence Seekers

Speaker: Dr. Zhifeng BAO
         School of Computing Technologies
         RMIT University

Title:  "Benefits Maximization in Outdoor Advertising:
         When the Influence Provider Meets Influence Seekers"

Date:   Monday, 4 October 2021

Time:   4:00pm - 5:00pm

Zoom link:
https://hkust.zoom.us/j/95532049042?pwd=UjkvVG9oZEhqZ1A5M2NJbWplelRJQT09

Meeting ID:     955 3204 9042
Passcode:       CSE

Abstract:

In this talk, I will introduce a suite of our studies on how to maximize
the "benefits" when the influence provider meets influence seekers, in the
context of outdoor advertising. In particular, we have three goals to
achieve: 1) maximize the benefit of an influence seeker when influence
overlap is taken into consideration;  2) maximize the benefit of an
influence seeker when impression counts are taken into consideration; 3)
maximize the benefit of an influence provider who deals with multiple
influence seekers. I will describe each work in the following pipeline:
practical pain points identified, research problem formulated, hardness
analysis, and data-driven algorithm design that hopefully bridges the gap
between theory and practice.


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Biography:

Zhifeng BAO is an Associate Professor in the School of Computing
Technologies, RMIT University and an Honorary Senior Fellow at the
University of Melbourne. His research interests include data management
and data mining, with a recent focus on geospatial data. Zhifeng received
his PhD and Bsc (Hons) in Computer Science at NUS. Zhifeng won the 2020
Chris Wallace Award for Outstanding Research, endorsed by The Computing
Research and Education Association of Australasia. He is also a two-time
winner of the Google Faculty Research Award. He has served the Associate
Editor of PVLDB, the PC Co-chair of CIKM21 (demo track) and RoundTable
Chair of VLDB 2021. He has been a (senior) PC member of many flagship
conferences in data science, such as SIGMOD, VLDB, KDD and SIGIR. He has
received five best paper awards such as KDD 2019 Best Paper Award
Runner-up, and five best paper nominations such as KDD 2018 and ICDE 2009.
At RMIT, he leads the Big Data & Database group. A range of urban data
analytics system prototypes his team has developed are at
http://civilcomputing.com/