publication . Preprint . 2014

HCRS: A hybrid clothes recommender system based on user ratings and product features

Hu, Xiaosong; Zhu, Wen; Li, Qing;
Open Access English
  • Published: 25 Nov 2014
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, and 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 recommen...
free text keywords: Computer Science - Artificial Intelligence, Computer Science - Information Retrieval
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