Verified facts
What happened
A research record titled A Machine Learning Approach for A Customized Product Recommendation System in E-Commerce lists Wilson Rahab as its author and gives 2026 as the publication year.
The record identifies the venue as International Journal of Computer Science and Mathematical Theory and provides DOI 10.56201/ijcsmt.vol.12.no5.2026.pg18.31.
The work has the stable OpenAlex identifier W7204123867 and was surfaced through OpenAlex Ecommerce Research Discovery.
Publication status is unknown, so the available record does not establish whether the work was peer-reviewed, accepted, or formally published.
Business relevance
Why it matters
Personalized recommendations remain commercially relevant because they can influence how shoppers discover products, but this record alone does not show that the described approach improves conversion, average order value, retention, or any other merchant outcome.
The title points to customization in e-commerce, which makes the topic potentially useful for sellers evaluating discovery workflows; however, the evidence does not disclose the