首页    期刊浏览 2024年07月07日 星期日
登录注册

文章基本信息

  • 标题:Outfit Helper: A Dialogue-Based System for Solving the Problem of Outfit Matching
  • 本地全文:下载
  • 作者:Boyu Zhang ; Qin Wang
  • 期刊名称:Journal of Computer and Communications
  • 印刷版ISSN:2327-5219
  • 电子版ISSN:2327-5227
  • 出版年度:2019
  • 卷号:7
  • 期号:12
  • 页码:50-65
  • DOI:10.4236/jcc.2019.712006
  • 出版社:Scientific Research Publishing
  • 摘要:With the development of artificial intelligence in recent decades, intelligent algorithms such as visual recognition and natural language processing have affected and will continue to affect our lives. A smart device designed to help people make wise decisions on dress through dialogue would be a very convenient tool. By using a color extraction algorithm and natural language processing methods, we have built an outfit planning chatbot, named Outfit Helper, that can help male users decide what to wear in order to dress well. According to our study, most users think that the Outfit Helper is a good choice for solving the clothing matching problem. This study shows that our lives can become much easier by developing and using artificial intelligence to help us choose our clothing.
  • 关键词:Artificial Intelligence;Intelligent Systems;Conversational Agents;Outfit Planning System;Conversational User Interfaces
国家哲学社会科学文献中心版权所有