Tuning a conversation strategy for interactive recommendations in a chatbot setting
Tuning a conversation strategy for interactive recommendations in a chatbot setting
复制标题
在聊天机器人设置中调整交互式推荐的对话策略
DOI:
10.1080/24751839.2018.1544818
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发表时间:
2019
影响因子:
2.7
通讯作者:
Kazuhiro Kuwabara and Hung-Hsuan Huang
中科院分区:
文献类型:
--
作者:
Yuichiro Ikemoto;Varit Asawavetvutt;Kazuhiro Kuwabara and Hung-Hsuan Huang
This paper presents a conversation strategy for interactive recommendations using a chatbot. Chatbots have recently been attracting attention for their use as a flexible user interface. To develop an effective chatbot, it is important to determine what kind of questions to ask, what information should be provided, and how to process a user's responses for a given task. In this paper, we target a chatbot that uses a graphical user interface (GUI) and focus on the task of recommending an item that suits a user's preference. We propose a conversation strategy where a chatbot combines questions about a user's preferences and recommendations while soliciting user's feedback to them. The balance between the questions and recommendations is controlled by changing the parameter values. In addition, we propose a simulation model to evaluate the performance of interactive recommendation under different parameter values. The simulation results with a prototype dataset are presented and discussed.
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DOI:
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发表时间:
2015
期刊:
影响因子:
--
作者:
Shiho Arima;Shingo Kuroiwa;Yasuo Horiuchi;Daisuke Furukawa
通讯作者:
Daisuke Furukawa
DOI:
10.1109/cisis.2011.95
发表时间:
2011
期刊:
2011 International Conference on Complex, Intelligent, and Software Intensive Systems
影响因子:
--
作者:
A. Augello;M. Scriminaci;S. Gaglio;G. Pilato
通讯作者:
G. Pilato
DOI:
--
发表时间:
2016
期刊:
MOTA@Middleware
影响因子:
--
作者:
Mengting Yan;Paul C. Castro;P. Cheng;Vatche Isahagian
通讯作者:
Vatche Isahagian
DOI:
10.1145/2678025.2701367
发表时间:
2015
期刊:
Proceedings of the 20th International Conference on Intelligent User Interfaces
影响因子:
--
作者:
B. Kveton;S. Berkovsky
通讯作者:
S. Berkovsky