A Brand-Aware Collaborative Filtering-Based Recommender System

Farida Karimova


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

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ISSN (Paper)2224-5758 ISSN (Online)2224-896X

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