Presentation information

Oral presentation

General Session » [General Session] 9. NLP / IR

[4G1] [General Session] 9. NLP / IR

Fri. Jun 8, 2018 12:00 PM - 1:40 PM Room G (5F Ruby Hall Hiten)

座長:角森 唯子(NTTドコモ)

1:20 PM - 1:40 PM

[4G1-05] A Study on a Dialogue System based on User’s Preference estimated by Input Images

Sae Iijima1, Kasumi Aoki1, Katsuyoshi Yamagami2,3, 〇Ichiro Kobayashi1, Jun Ozawa2 (1. Ochanomizu University, 2. National Institute of Advanced Industrial Science and Technology, 3. Panasonic Corporation)

Keywords:Dialogue, Recipe recommendation, Reinforcement learning

We have developed a dialogue system for recipe recommendation. In particular, we have proposed an idea to allow users to provide the system with a picture of their favorite foods so as they can tell the system their preference on foods without interaction by words. By this, the system can estimate user’s hidden favorites and recommend foods. In the dialogue management, we have optimized dialogue policy using natural actor critic.