Online shopping behavior prediction using support vector machines Article Swipe
Matthew Roque
,
Reggie C. Gustilo
,
Anna Sheila I. Crisostomo
,
Badar Al Dhuhli
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1063/5.0195016
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1063/5.0195016
In the recent years, developments with technology and the internet have expanded rapidly. A good majority of business is now done online, and online shopping has become widely used. With the number of people that make use of online shopping, the websites and applications that run these are now able to gather a large amount of data in relation to how consumers behave on their platform. This data can be analyzed to develop a machine learning model that will be capable of predicting consumer behavior in real-time and allow the platform to act accordingly. In this study, a supervised machine learning model, particularly a support vector machine, is developed using an online shopping behavior dataset. Forward sequential feature selection is used with cross-validation in order to determine the most important predictors in the dataset and Bayes' optimization is used with the SVM in order to determine the best set of hyperparameters for the model. With holdout validation, the final accuracy on the test set was found to be 89%.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1063/5.0195016
- https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0195016/19581196/030055_1_5.0195016.pdf
- OA Status
- bronze
- References
- 10
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391639183
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4391639183Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1063/5.0195016Digital Object Identifier
- Title
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Online shopping behavior prediction using support vector machinesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Matthew Roque, Reggie C. Gustilo, Anna Sheila I. Crisostomo, Badar Al DhuhliList of authors in order
- Landing page
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https://doi.org/10.1063/5.0195016Publisher landing page
- PDF URL
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https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0195016/19581196/030055_1_5.0195016.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0195016/19581196/030055_1_5.0195016.pdfDirect OA link when available
- Concepts
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Support vector machine, Computer science, Artificial intelligence, Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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10Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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