<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>One 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.</p>
</abstract>

One 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.

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

Department of Software of Computer Systems

Journal of Artificial Intelligence and Soft Computing Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

One of the fundamental issues of modern society is access to interesting and useful content. As the amount of available content increases, this task becomes...

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

Pubblicato online: 11 mar 2023

Pagine: 63 - 72

Ricevuto: 04 set 2022

Accettato: 15 feb 2023

DOI: https://doi.org/10.2478/jaiscr-2023-0007

Parole chiave
feature extraction, recommender systems, heatmaps

© 2023 Piotr Woldan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Pubblicato online: 11 mar 2023

Pagine: 63 - 72

Ricevuto: 04 set 2022

Accettato: 15 feb 2023

DOI: https://doi.org/10.2478/jaiscr-2023-0007

Parole chiavefeature extraction, recommender systems, heatmaps

© 2023 Piotr Woldan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
feature extraction, recommender systems, heatmaps