activity
20192025
most citedMeasuring the influence of mere exposure effect of TV commercial adverts on purchase behavior based on machine learning prediction models

32 citations · 43 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2025

Proactive User Information Acquisition via Chats on User-Favored Topics

Shiki Sato, Jun Baba, Asahi Hentona +3

Chat-oriented dialogue systems designed to provide tangible benefits, such as sharing the latest news or preventing frailty in senior citizens, often require Proactive acquisition…

cs.CL2024

User Willingness-aware Sales Talk Dataset

Asahi Hentona, Jun Baba, Shiki Sato +1

User willingness is a crucial element in the sales talk process that affects the achievement of the salesperson's or sales system's objectives. Despite the importance of user willi…

cs.CL2023

Why Guided Dialog Policy Learning performs well? Understanding the role of adversarial learning and its alternative

Sho Shimoyama, Tetsuro Morimura, Kenshi Abe +6

Dialog policies, which determine a system's action based on the current state at each dialog turn, are crucial to the success of the dialog. In recent years, reinforcement learning…

cs.IR2019★ 32 cited

Measuring the influence of mere exposure effect of TV commercial adverts on purchase behavior based on machine learning prediction models

Elisa Claire Alemán Carreón, Hirofumi Nonaka, Asahi Hentona +1

Since its introduction, television has been the main channel of investment for advertisements in order to influence customers purchase behavior. Many have attributed the mere expos…

cs.DL2019★ 9 cited

Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks

Kensei Nakai, Hirofumi Nonaka, Asahi Hentona +5

Scoring patent documents is very useful for technology management. However, conventional methods are based on static models and, thus, do not reflect the growth potential of the te…

cs.IR2019★ 2 cited

Community Detection and Growth Potential Prediction from Patent Citation Networks

Asahi Hentona, Takeshi Sakumoto, Hugo Alberto Mendoza España +6

The scoring of patents is useful for technology management analysis. Therefore, a necessity of developing citation network clustering and prediction of future citations for practic…