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A New Approach to Image-Based Recommender Systems with the Application of Heatmaps Maps

A New Approach to Image-Based Recommender Systems with the Application of Heatmaps Maps AbstractOne of the fundamental issues of modern society is access to interesting and useful content. As the amount of available content increases, this task becomes more and more challenging. Our needs are not always formulated in words; sometimes we have to use complex data types like images. In this paper, we consider the three approaches to creating recommender systems based on image data. The proposed systems are evaluated on a real-world dataset. Two case studies are presented. The first one presents the case of an item with many similar objects in a database, and the second one with only a few similar items. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Artificial Intelligence and Soft Computing Research de Gruyter

A New Approach to Image-Based Recommender Systems with the Application of Heatmaps Maps

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Publisher
de Gruyter
Copyright
© 2023 Piotr Woldan et al., published by Sciendo
eISSN
2083-2567
DOI
10.2478/jaiscr-2023-0007
Publisher site
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Abstract

AbstractOne of the fundamental issues of modern society is access to interesting and useful content. As the amount of available content increases, this task becomes more and more challenging. Our needs are not always formulated in words; sometimes we have to use complex data types like images. In this paper, we consider the three approaches to creating recommender systems based on image data. The proposed systems are evaluated on a real-world dataset. Two case studies are presented. The first one presents the case of an item with many similar objects in a database, and the second one with only a few similar items.

Journal

Journal of Artificial Intelligence and Soft Computing Research – de Gruyter

Published: Mar 1, 2023

Keywords: feature extraction; recommender systems; heatmaps

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