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

<p>In recent years, there has been an increasing interest in emotional interaction models based on artificial intelligence technology, and researchers want to deal with real-life problems in daily life through artificial intelligence and emotional interaction technology. In this paper, based on artificial intelligence and the emotional interaction model, we analyze the model architecture of emotional interaction technology and the theory related to the e-commerce operation platform. Combining the two, we propose a collaborative filtering recommendation algorithm, define system performance indexes, and recommend fresh produce to target customers with similar users’ evaluation of fresh produce through artificial intelligence technology. Using the experiments of three different recommendation systems and user behavior data of different months in the past three years as reference, it is concluded that the e-commerce operation of fresh produce based on AI and emotional interaction model can effectively improve the browsing and transaction volume of the e-commerce platform. This shows that artificial intelligence and emotional interaction model can be applied to create a new e-commerce operation mode, which provides research directions and methods for the diversified development of future e-commerce operation modes.</p>
</abstract>

In recent years, there has been an increasing interest in emotional interaction models based on artificial intelligence technology, and researchers want to deal with real-life problems in daily life through artificial intelligence and emotional interaction technology. In this paper, based on artificial intelligence and the emotional interaction model, we analyze the model architecture of emotional interaction technology and the theory related to the e-commerce operation platform. Combining the two, we propose a collaborative filtering recommendation algorithm, define system performance indexes, and recommend fresh produce to target customers with similar users’ evaluation of fresh produce through artificial intelligence technology. Using the experiments of three different recommendation systems and user behavior data of different months in the past three years as reference, it is concluded that the e-commerce operation of fresh produce based on AI and emotional interaction model can effectively improve the browsing and transaction volume of the e-commerce platform. This shows that artificial intelligence and emotional interaction model can be applied to create a new e-commerce operation mode, which provides research directions and methods for the diversified development of future e-commerce operation modes.

Innovation of fresh agricultural products e-commerce operation mode based on artificial intelligence and machine learning model

Shijiazhuang University of Applied Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In recent years, there has been an increasing interest in emotional interaction models based on artificial intelligence technology, and researchers want to...

Innovation of fresh agricultural products e-commerce operation mode based on artificial intelligence and machine learning model

Publicado en línea: 07 oct 2023

Páginas: -

Recibido: 15 nov 2022

Aceptado: 17 abr 2023

DOI: https://doi.org/10.2478/amns.2023.2.00528

Palabras clave
Artificial intelligence model, Emotional interaction model, E-commerce operation model, Collaborative filtering recommendation algorithm

© 2023 Jiamei Cheng, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Innovation of fresh agricultural products e-commerce operation mode based on artificial intelligence and machine learning model

Publicado en línea: 07 oct 2023

Páginas: -

Recibido: 15 nov 2022

Aceptado: 17 abr 2023

DOI: https://doi.org/10.2478/amns.2023.2.00528

Palabras claveArtificial intelligence model, Emotional interaction model, E-commerce operation model, Collaborative filtering recommendation algorithm

© 2023 Jiamei Cheng, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Palabras clave
Artificial intelligence model, Emotional interaction model, E-commerce operation model, Collaborative filtering recommendation algorithm