i-Stylist: Finding the Right Dress Through Your Social Networks
详细信息 查看全文
- 关键词：Personalized recommendation ; Clothing items ; Dress style ; Social network ; Convolutional neural networks (CNN)
- 刊名：Lecture Notes in Computer Science
- 出版年：2017
- 出版时间：2017
- 年：2017
- 卷：10132
- 期：1
- 页码：662-673
- 丛书名：MultiMedia Modeling
- ISBN：978-3-319-51811-4
- 卷排序：10132
文摘
Searching the Web has become an everyday task for most people. However, the presence of too much information can cause information overload. For example, when shopping online, a user can easily be overwhelmed by too many choices. To this end, we propose a personalized clothing recommendation system, namely i-Stylist, through the analysis of personal images in social networks. To access the available personal images of a user, the i-Stylist system extracts a number of characteristics from each clothing item such as CNN feature vectors and metadata such as color, material and pattern of the fabric. Then, these clothing items are organized as a fully connected graph to later infer the personalized probability distribution of how the user will like each clothing item in a shopping website. The user is able to modify the graph structure, e.g. adding and deleting vertices by giving feedback about the retrieved clothing items. The i-Stylist system is compared against two other baselines and demonstrated to have better performance.