With the Internet and logistics transportation developing rapidly and the popularization of devices like smartphones, online shopping has become an ordinary issue for each of us. No matter what product is needed, such as a refrigerator or just a spoon, could be available as long as we search in the website or application of the e-commerce platform, fill out an address and then pay for the product. While browsing in the e-commerce platform for the goods wanted, it is just as though we are in a large market which involves kinds of products. Consumers need to find what they want. The retailers and the e-commerce platform also need to reach for more potential customers and get more orders more efficiently. This is the reason for the adoption of recommendation algorithms. Although recommendation algorithms have somewhat achieved these in practice, there are still a few problems. This paper mainly described the application status of the intelligent recommendation algorithm of the E-commerce platform and how the cocoon room came into being in such a situation. Then there was an analysis of the cocoon room of the intelligent recommendation algorithm, making consumers feel bored or regret after purchasing and consequently harming the interests of the retailers and the platform itself. Subsequently, solutions to the two kinds of negative moods were proposed. The last is the summary, meaning in practice, and extended study direction of this analysis.
| Published in | American Journal of Applied Psychology (Volume 11, Issue 6) |
| DOI | 10.11648/j.ajap.20221106.14 |
| Page(s) | 167-171 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
E-commerce Platform, Recommendation Algorithm, Cocoon Room, Negativte Moods
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APA Style
Jingjing Huang. (2022). Influences and Solutions of the Cocoon Room Caused by the Intelligent Recommendation Algorithm of the E-commerce Platform. American Journal of Applied Psychology, 11(6), 167-171. https://doi.org/10.11648/j.ajap.20221106.14
ACS Style
Jingjing Huang. Influences and Solutions of the Cocoon Room Caused by the Intelligent Recommendation Algorithm of the E-commerce Platform. Am. J. Appl. Psychol. 2022, 11(6), 167-171. doi: 10.11648/j.ajap.20221106.14
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Download@article{10.11648/j.ajap.20221106.14,
author = {Jingjing Huang},
title = {Influences and Solutions of the Cocoon Room Caused by the Intelligent Recommendation Algorithm of the E-commerce Platform},
journal = {American Journal of Applied Psychology},
volume = {11},
number = {6},
pages = {167-171},
doi = {10.11648/j.ajap.20221106.14},
url = {https://doi.org/10.11648/j.ajap.20221106.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajap.20221106.14},
abstract = {With the Internet and logistics transportation developing rapidly and the popularization of devices like smartphones, online shopping has become an ordinary issue for each of us. No matter what product is needed, such as a refrigerator or just a spoon, could be available as long as we search in the website or application of the e-commerce platform, fill out an address and then pay for the product. While browsing in the e-commerce platform for the goods wanted, it is just as though we are in a large market which involves kinds of products. Consumers need to find what they want. The retailers and the e-commerce platform also need to reach for more potential customers and get more orders more efficiently. This is the reason for the adoption of recommendation algorithms. Although recommendation algorithms have somewhat achieved these in practice, there are still a few problems. This paper mainly described the application status of the intelligent recommendation algorithm of the E-commerce platform and how the cocoon room came into being in such a situation. Then there was an analysis of the cocoon room of the intelligent recommendation algorithm, making consumers feel bored or regret after purchasing and consequently harming the interests of the retailers and the platform itself. Subsequently, solutions to the two kinds of negative moods were proposed. The last is the summary, meaning in practice, and extended study direction of this analysis.},
year = {2022}
}
TY - JOUR T1 - Influences and Solutions of the Cocoon Room Caused by the Intelligent Recommendation Algorithm of the E-commerce Platform AU - Jingjing Huang Y1 - 2022/12/08 PY - 2022 N1 - https://doi.org/10.11648/j.ajap.20221106.14 DO - 10.11648/j.ajap.20221106.14 T2 - American Journal of Applied Psychology JF - American Journal of Applied Psychology JO - American Journal of Applied Psychology SP - 167 EP - 171 PB - Science Publishing Group SN - 2328-5672 UR - https://doi.org/10.11648/j.ajap.20221106.14 AB - With the Internet and logistics transportation developing rapidly and the popularization of devices like smartphones, online shopping has become an ordinary issue for each of us. No matter what product is needed, such as a refrigerator or just a spoon, could be available as long as we search in the website or application of the e-commerce platform, fill out an address and then pay for the product. While browsing in the e-commerce platform for the goods wanted, it is just as though we are in a large market which involves kinds of products. Consumers need to find what they want. The retailers and the e-commerce platform also need to reach for more potential customers and get more orders more efficiently. This is the reason for the adoption of recommendation algorithms. Although recommendation algorithms have somewhat achieved these in practice, there are still a few problems. This paper mainly described the application status of the intelligent recommendation algorithm of the E-commerce platform and how the cocoon room came into being in such a situation. Then there was an analysis of the cocoon room of the intelligent recommendation algorithm, making consumers feel bored or regret after purchasing and consequently harming the interests of the retailers and the platform itself. Subsequently, solutions to the two kinds of negative moods were proposed. The last is the summary, meaning in practice, and extended study direction of this analysis. VL - 11 IS - 6 ER -
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