Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1080/24751839.2018.1544818 | JOURNAL OF INFORMATION AND TELECOMMUNICATION |
Keywords | DocType | Volume |
Conversation strategy, chatbot, interactive recommendation, simulation | Journal | 3 |
Issue | ISSN | Citations |
2 | 2475-1839 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuichiro Ikemoto | 1 | 0 | 1.01 |
| Varit Asawavetvutt | 2 | 0 | 0.68 |
| Kazuhiro Kuwabara | 3 | 700 | 112.64 |
| Hung-Hsuan Huang | 4 | 140 | 32.60 |