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20132026
most citedMaximizing Barber's bipartite modularity is also hard

18 citations · 45 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.IR2024

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…

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.IR2024

Privacy-preserving recommender system using the data collaboration analysis for distributed datasets

Tomoya Yanagi, Shunnosuke Ikeda, Noriyoshi Sukegawa +1

In order to provide high-quality recommendations for users, it is desirable to share and integrate multiple datasets held by different parties. However, when sharing such distribut…

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…

cs.IR2020

Predicting Online Item-choice Behavior: A Shape-restricted Regression Perspective

Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano +1

This paper examines the relationship between user pageview (PV) histories and their item-choice behavior on an e-commerce website. We focus on PV sequences, which represent time se…