activity
20242026
most citedInvestigating the Potential of Using Large Language Models for Scheduling

1 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.LG2024

Optimizing Item-based Marketing Promotion Efficiency in C2C Marketplace with Dynamic Sequential Coupon Allocation Framework

Jie Yang, Padunna Valappil Krishnaraj Sekhar, Sho Sekine +1

In e-commerce platforms, coupons play a crucial role in boosting transactions. In the customer-to-customer (C2C) marketplace, ensuring the satisfaction of both buyers and sellers i…

cs.IR2024

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…

cs.AI2024★ 1 cited

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…

cs.IR2024★ 1 cited

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…

stat.ME2024

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…