Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)

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A Comprehensive Recommendation System for Online Shopping Based on the Google Dataset

Authors
Dongming Chen1, *
1Ocean University of China, Qingdao, 266100, Shandong, China
*Corresponding author. Email: Chendongming@stu.ouc.edu.cn
Corresponding Author
Dongming Chen
Available Online 14 February 2024.
DOI
10.2991/978-94-6463-370-2_33How to use a DOI?
Keywords
Recommendation system; Natural language processing; Singular Value Decomposition
Abstract

With the upgrading of online shopping software, intelligent recommendation systems have emerged in various software and become the main recommendation engine of contemporary times. This article outlines the construction of an all-encompassing recommendation system, drawing inspiration from prior collaborative filtering concepts. The system undergoes training and testing using the Google Shopping dataset. Scoring and evaluation texts are treated as distinct components, later combined to create a versatile recommendation system. Post-testing, the system is capable of furnishing recommendations based on all available data without user input. Alternatively, it can offer personalized recommendations derived from users’ purchase histories, providing a selection of the top 15 recommendations to align with contemporary shopping software prerequisites. The purchase index with a test result of 63.0% for the entire dataset indicates that it fully meets user purchasing needs, but the average purchase rate is only 7.99%, and there is still room for improvement in this case.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
Series
Advances in Intelligent Systems Research
Publication Date
14 February 2024
ISBN
10.2991/978-94-6463-370-2_33
ISSN
1951-6851
DOI
10.2991/978-94-6463-370-2_33How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Dongming Chen
PY  - 2024
DA  - 2024/02/14
TI  - A Comprehensive Recommendation System for Online Shopping Based on the Google Dataset
BT  - Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
PB  - Atlantis Press
SP  - 305
EP  - 312
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-370-2_33
DO  - 10.2991/978-94-6463-370-2_33
ID  - Chen2024
ER  -