JSAI2021

Presentation information

General Session

General Session » GS-4 Web intelligence

[1I2-GS-4a] Webインテリジェンス:モデル化

Tue. Jun 8, 2021 1:20 PM - 3:00 PM Room I (GS room 4)

座長:宮川 大輝(NEC)

2:00 PM - 2:20 PM

[1I2-GS-4a-03] Prediction of social welfare with consideration for boredom

〇Yuka Nishida1, Hideaki Kim1, Takeshi Kurashima1, Hiroyuki Toda1 (1. NTT Corporation)

Keywords:behavior model, social welfare

When people are faced with a number of action choices, the issue of how to find an appropriate action is important to enjoy a comfortable life. In previous works, some models have been developed to predict social welfare, i.e., the similarity between a user’s interest and her action choice, by which the best action can be suggested for each user. Although they consider a scenario where a user’s interest may be affected by actions which she did in the past, they make a restrictive assumption that her interest should increase or decrease monotonically when similar actions are repeated. In this paper, we propose a new model that can mimic the scenario of boredom that user’s interest initially increases and progressively decreases through repeated similar actions. We fit the model parameter based on a real-world data, and discuss about the obtained result.

Authentication for paper PDF access

A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.

Password