1 citations · 4 across the 10 of their papers we have counts for
10 papers
Estimating the Effect of Timing on Coupon Effectiveness
Deddy Jobson
The coupon incentive is one of the most common tools marketers use to court users to engage with a business at various stages of the customer life cycle. A variety of factors can a…
Using item recommendations and LLMs in marketing email titles
Deddy Jobson, Muktti Shukla, Phuong Dinh +4
E-commerce marketplaces make use of a number of marketing channels like emails, push notifications, etc. to reach their users and stimulate purchases. Personalized emails especiall…
Subset Selection for Stratified Sampling in Online Controlled Experiments
Haru Momozu, Yuki Uehara, Naoki Nishimura +6
Online controlled experiments, also known as A/B testing, are the digital equivalent of randomized controlled trials for estimating the impact of marketing campaigns on website vis…
Strategic Coupon Allocation for Increasing Providers' Sales Experiences in Two-sided Marketplaces
Koya Ohashi, Sho Sekine, Deddy Jobson +4
In a two-sided marketplace, network effects are crucial for competitiveness, and platforms need to retain users through advanced customer relationship management as much as possibl…
Fast solution to the fair ranking problem using the Sinkhorn algorithm
Yuki Uehara, Shunnosuke Ikeda, Naoki Nishimura +8
In two-sided marketplaces such as online flea markets, recommender systems for providing consumers with personalized item rankings play a key role in promoting transactions between…
Investigating the Potential of Using Large Language Models for Scheduling
Deddy Jobson, Yilin Li
The inaugural ACM International Conference on AI-powered Software introduced the AIware Challenge, prompting researchers to explore AI-driven tools for optimizing conference progra…
Robust portfolio optimization model for electronic coupon allocation
Yuki Uehara, Naoki Nishimura, Yilin Li +6
Currently, many e-commerce websites issue online/electronic coupons as an effective tool for promoting sales of various products and services. We focus on the problem of optimally…
Generalized Regression with Conditional GANs
Deddy Jobson, Eddy Hudson
Regression is typically treated as a curve-fitting process where the goal is to fit a prediction function to data. With the help of conditional generative adversarial networks, we…
Covariate Ordered Systematic Sampling as an Improvement to Randomized Controlled Trials
Deddy Jobson, Li Yilin, Naoki Nishimura +3
The Randomized Controlled Trial (RCT) or A/B testing is considered the gold standard method for estimating causal effects. Fisher famously advocated randomly allocating experiment…
Personalized Promotion Decision Making Based on Direct and Enduring Effect Predictions
Jie Yang, Yilin Li, Deddy Jobson
Promotions have been trending in the e-commerce marketplace to build up customer relationships and guide customers towards the desired actions. Since incentives are effective to en…