图 书 馆
量化时尚数据的挑战：创造力、艺术和情感Challenges of quantifying fashion data: creativity, art and emotions |
|
| 课程网址: | https://videolectures.net/videos/kdd2016_eberhard_oh_fashion_data |
| 主讲教师: | Elena Eberhard; Jinah Oh |
| 开课单位: | KDD 2016研讨会 |
| 开课时间: | 2016-10-12 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Fashion is a field at the border of art and industry, combining elements of creative spontaneity in a unexpected ways, based on various sources of inspiration. It takes a human to create a clothing and a celebrity to make it fashionable. Real fashion world, designers and creative consumers (street fashion) provide an eclectic ever-changing content that science and technology are trying to optimize in order to increase sales and decrease the waste of over-production. In this talk we provide an overview of fashion big data problems: forecasting fashion trends, influencer analytics, visual search, natural language processing, style recommendation algorithms and the need to understand the natural life-cycle of a fashion garment before applying science in order to accelerate or alter it. Also, we will share some examples of collaboration projects between giants of technology and academics exploring the potential of quantifying fashion data. |
| 关 键 词: | 时尚数据; 创造性; 大数据问题 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2025-01-08：liyq |
| 最后编审: | 2025-01-08：liyq |
| 阅读次数: | 10 |