  Nowadays, online clothes-selling business has become popular and extremely
attractive because of its convenience and cheap-and-fine price. Good examples
of these successful Web sites include Yintai.com, Vancl.com and
Shop.vipshop.com which provide thousands of clothes for online shoppers. The
challenge for online shoppers lies on how to find a good product from lots of
options. In this article, we propose a collaborative clothes recommender for
easy shopping. One of the unique features of this system is the ability to
recommend clothes in terms of both user ratings and clothing attributes.
Experiments in our simulation environment show that the proposed recommender
can better satisfy the needs of users.
