activity
20192025
most citedImpact of Tone-Aware Explanations in Recommender Systems

12 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SI2025

Data-Driven Discrete Geofence Design Using Binary Quadratic Programming

Keisuke Otaki, Akihisa Okada, Tadayoshi Matsumori +1

Geofences have attracted significant attention in the design of spatial and virtual regions for managing and engaging spatiotemporal events. By using geofences to monitor human act…

quant-ph2025

Joint Optimization of Electric Vehicle Routes and Charging Locations through Learning Charge Constraints Using QUBO Solvers

Akihisa Okada, Keisuke Otaki, Hiroaki Yoshida

Optimal routing problems of electric vehicles (EVs) have attracted much attention in recent years, and installation of charging stations is an important issue for EVs. Hence, we fo…

cs.HC2024★ 12 cited

Impact of Tone-Aware Explanations in Recommender Systems

Ayano Okoso, Keisuke Otaki, Satoshi Koide +1

In recommender systems, the presentation of explanations plays a crucial role in supporting users' decision-making processes. Although numerous existing studies have focused on the…

cs.LG2021

Partial Wasserstein Covering

Keisuke Kawano, Satoshi Koide, Keisuke Otaki

We consider a general task called partial Wasserstein covering with the goal of providing information on what patterns are not being taken into account in a dataset (e.g., dataset…

math.OC2019

NERO: Nested Rebalancing Optimization for Mobility on Demand

Tomoki Nishi, Satoshi Koide, Keisuke Otaki +1

Mobility-on-Demand (MoD) services, such as taxi-like services, are promising applications. Rebalancing the vehicle locations against customer requests is a key challenge in the ser…