We propose to represent the mutual similarities of the recommended products in a two dimensional map, where similar products are located close to each other and ...
Most recommender systems present recommended products in lists to the user. By doing so, much information is lost about the mutual similarity between recom-.
We propose to represent the mutual similarities of the recommended products in a two dimensional map, where similar products are located close to each other.
We propose a graphical shopping interface, which represents the mutual similarities of the recommended products in a two dimensional space, where similar ...
Missing: attributes. | Show results with:attributes.
suggest products to their customers and to provide consumers with information to help them decide which products to purchase” [Shafer et al., 2001].
We propose to represent the mutual similarities of the recommended products in a two dimensional space, where similar products are located close to each other ...
We propose a graphical shopping interface, which represents the mutual simi-larities of the recommended products in a two dimensional space, where similar ...
We propose a graphical shopping interface, which represents the mutual similarities of the recommended products in a two dimensional space, where similar ...
Missing: attributes. | Show results with:attributes.
Dec 23, 2023 · The first, the graphical recommender system, uses a description given by the user in terms of product attributes of an ideal product. The second ...
This paper describes an approach to product recommendation that combines in a novel way content-and collaborative-based filtering techniques. The system helps ...