A Brand-Aware Collaborative Filtering-Based Recommender System
Abstract
Recommendig clothing products can be formidable: while making a purchase decision, of the many possible attributes, such as how fashionable or how popular the product is, customer’s aesthetic preference plays a significant role. As the online retail marketplace is growing rapidly, making the available product range extremely diverse, capturing customer preference is also becoming more and more challenging. In this article we propose an extended Collaborative Filtering algorithm, using additional side information in order to capture products’ styles, which are used to define a customer’s preference.
Keywords: Recommender Systems, E-commerce, Collaborative Filtering
To list your conference here. Please contact the administrator of this platform.
Paper submission email: IKM@iiste.org
ISSN (Paper)2224-5758 ISSN (Online)2224-896X
Please add our address "contact@iiste.org" into your email contact list.
This journal follows ISO 9001 management standard and licensed under a Creative Commons Attribution 3.0 License.
Copyright © www.iiste.org