Schedule

Program Schedule: (Room 102B)

August 15

7:30 - 8:00 am

Poster setup


8:00 - 8:15am

Introduction

Neha Gupta, Common Room

8:15 - 8:35am


Best Practices on Customer Journey Optimization for Online Games

Qiaolin Chen, Tencent

8:35 - 8:55am


Lightening Talks (Accepted Papers)

9:00 - 9:30am

Evolution of Next Best Action Engines in B2C and B2B Applications



Ilya Katsov

9:30-10:00am

Break & Poster Session

10:00-10:25am

Hierarchical Bayesian Bandits

Mohammad Ghavamzadeh

10:40-11:00 am


Combining experimental and observational studies to estimate individual treatment effects: applications to customer journey optimization

Totte Harinen, Toyota Research Institute

11:00-11:20am


How a Brand’s Social Media Response to Social Justice Activism Impacts Consumers’ Brand Evaluations: The Role of Brand Relationship Norms

Jingjing Li

11:20-12:00pm


Panel Discussion - Gregor Stewart, Jingjing Li, Ilya Katsov



Lightning Talks

  • Personalized Promotion Decision Making Based on Direct and Enduring Effect Predictions. Authors: Jie Yang (Mercari Inc.)*; Yilin Li (Mercari Inc.); Deddy Jobson (Mercari Inc.) [paper_link]

  • Channel Agnostic Revenue Optimization At LinkedIn. Authors: Hongying Zhao (LinkedIn)* [paper_link]

  • Weekly Contents Recommendations at Course Hero. Authors: Kazem Jahanbakhsh (Course Hero)*; Sarabh Khanwalkar (Course Hero); Reza Jamei (Course Hero) [paper_link]


Posters

  • Estimating the Effect of Timing on Coupon Effectiveness. Authors: Deddy Jobson (Mercari Inc.)* [paper_link]

  • ML Prescriptive Canvas for Optimising Business Outcomes. Authors: Gerben D Oostra (Vianai Systems)*; Hanan Shteingart (Vianai Systems); Ohad Levinkron (Vianai Systems); Naama Parush (Vianai Systems); Gil Shabat (Vianai Systems); Daniel Aronovich (Vianai Systems)

  • Marketing Solution with Incomplete Data. Authors: Erkut Aykutlug (LinkedIn); Xinyan Chen (LinkedIn); Faisal Farooq (LinkedIn); Phil Gaudreau (LinkedIn); Neha Gupta (Linkedin); Wei Xu (LinkedIn)*; Maggie Zhang (LinkedIn)

  • Channel Engagement Score for Channel Marketing Strategies. Authors: Ming Wu (LinkedIn)*; Zhiqi Guo (LinkedIn); Maggie Zhang (LinkedIn) [paper_link]

  • Audience Testing Measurement Framework. Authors: Ming Wu (LinkedIn)*; Qianqian Pan (LinkedIn) [paper_link]

  • Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning. Authors: Raghu Ram Bharadwaj Diddigi (Myntra Designs Pvt. Ltd.)*; Lakshya Kumar (Myntra Designs Pvt. Ltd. ); Saif Jawaid (Myntra Designs Pvt. Ltd.); Sreekanth Vempati (Myntra )

  • A Large Scale Heterogeneous Treatment Effect Estimation Framework and Its Applications of Users' Journey at Snap. Authors: Li Shi (Snap Inc.), Jing Pan (Snap Inc.)*, Jonathan Grotts (Snap Inc.), Paul Lo (Snap Inc.), Crystal Pan (Snap Inc.), Ben Thompson (Snap Inc.), Mattia Fumagalli (Snap Inc.), Amit Adur (Snap Inc.) [paper_link]

  • GREASE: Explain GNN-based Recommendations via Factual and Counterfactual Reasoning. Authors: Ziheng Chen (StonyBrook University)*; Gabriele Tolomei (Sapienza University of Rome); Yongfeng Zhang (Rutgers University); Jia Wang (Xi'an Jiaotong-Liverpool University); Fabrizio Silvestri (Sapienza University of Rome); Zhenhua Huang (South China Normal University) [paper_link]

  • How LinkedIn Leverages Various Tools to Measure Top-of-Funnel Marketing ROI. Authors: Maggie Zhang (LinkedIn); Xinyan Chen (LinkedIn); Sylvana Yelda (LinkedIn)*

  • A Recent Signal and User Characteristic Based Churn Prevention System for Sharing Economy Business. Authors: Chang Liu (AIRBNB)*; Paolo Massimi (AIRBNB); Maggie Jarley (AIRBNB); Hao Zeng (AIRBNB) [paper_link]

  • Computer Vision Modeling for Optimizing Photo Rankings of Airbnb Listings. Authors: Bill Ulammandakh (Airbnb); Regina Wu (Airbnb); Paolo Massimi (Airbnb)*