Workshop Schedule

August 6, 2023

7:30 - 8:00am

8:00 - 8:10am

8:10 - 8:30am

Invited talk 1: Promising Delivery Speed in Online Retail

Ruomeng Cui, Associate Professor at Emory University

8:30 - 8:50am

Invited talk 2: Unveiling the Guest & Host Journey: Session-Based Instrumentation on Airbnb Platform

Shant Torosean, Analytics Engineering Manager at Airbnb

8:50 - 9:10am

Invited talk 3: Devoted to Long-Term Adventure: Growing Airbnb Through Measuring Customer Lifetime Value

Sean O’Donnell, Senior Data Scientist at Airbnb

Jason Cai, Data Science Manager at Airbnb

Linsha Chen, Senior Data Science Manager at Airbnb

9:10 - 9:30am

Invited talk 4: Discovering Causal Opportunities Through Deep Learning Models of Event Sequence Data

Sean Taylor, Chief Scientist at Motif Analytics

9:30 - 10:00am

10:00 -11:00am

Contributed Talks (4 talks, 15 mins each)

11:00 - 12:00pm

Panelists:

Florian Hatt, Director of Data Science at Expedia

Neha Gupta, Head of Data Science / Machine Learning at Common Room

Alvin Lim, VP of Data Science at MEASURED

Paolo Massimi, Director of Data Science at Airbnb

Panel moderator: Mert Bay, Head of Business Data Science at Noom

Multi-objective Online Advertisement Budget Allocation [Paper Link]
- Yang Cao (Uber Technologies, Inc); Tushar Shanker (NA); Shiyao Guan (Uber Technologies, Inc); Mert Bay (Noom)
Low Inventory State: Identifying Under-Served Queries for Airbnb Search [Paper Link]
- Toma Gulea (Airbnb); Bradley Turnbull (Airbnb)
Unlocking Sales Growth: Account Prioritization Engine with Explainable AI
- Suvendu K Jena (LinkedIn Corporation); Jilei Yang (LinkedIn Corporation); Fangfang Tan (LinkedIn Corporation)
B2B Customer Conversion Prediction: A Document Representation, Graph Theory, and CatBoost Driven Methodology [Paper Link]
- Tianqi Wang (Purdue University); Jan Allebach (Purdue University); Anton Wiranata (HP Boise R&D); Christopher Brinton (Purdue University); Sheikh Shams Azam (Apple)

Potential-Driven Customer Optimization Framework at LinkedIn Ads Business
- Olurotimi Seton (LinkedIn); Na Zhao (LinkedIn); Olabode Oyeneye (LinkedIn); Subhankar Banerjee (DoorDash)
Development of an End-to-end Machine Learning System with Application to In-app Purchases [Paper Link]
- Dionysios Varelas (Activision Blizzard King); Elena Bonan (Activision Blizzard King); Lewis Anderson (Activision Blizzard King); Anders Englesson (Activision Blizzard King); Christoffer Åhrling (Activision Blizzard King); Adrian Chmielewski-Anders (Activision Blizzard King )
Teacher-Student Learning on Complexity in Intelligent Routing
- Shu-Ting Pi (Amazon); Michael Yang (Amazon); Yuying Zhu (Amazon); Qun Liu (Amazon)
Measuring TV Campaigns at Airbnb
- Adam Maidman (Airbnb); Sam Barrows (Airbnb)
Forecasting Net Booked Revenues Using a Survival Regression-Based Customer LTV Model
- Benjamin W Mooneyham (Noom)
Marketing Effectiveness Benchmarks: Analysis of Geo Experiment Results across Industries and Channels
- Kiran Pannerselvam (Measured, Inc.); Alvin Lim (Measured, Inc.); Nathan Janos (Measured, Inc.)
Rethinking Financial Service Promotion With Hybrid Recommender Systems at PicPay
- Gabriel G. B. S. Mendonça (Federal University of Rio de Janeiro); Matheus Almeida (PicPay); André Gonçalves (PicPay); Yan Almeida (PicPay)
A Wholistic Bayesian Time-Series Approach to Media Mix Modeling
- Shatrunjai Singh (Noom Inc); Edwin Ng (Amazon); Mert Bay (Noom Inc)