May 25, 2022, 8:07 p.m. | Burak Özen

Towards Data Science - Medium towardsdatascience.com

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Introduction

One of the most common challenges in an e-commerce business to build a well-performing product recommender and categorisation model. A product recommender is used to recommend similar products to users so that total time and money spent on platform per user will be increased. There is also a need to have a model to categorise products correctly since there might be some wrongly categorised products in those platforms especially where most of content …

commerce data science e-commerce ecommerce machine learning mlops product recommendation recommendations

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Business Intelligence Developer / Analyst

@ Transamerica | Work From Home, USA

Data Analyst (All Levels)

@ Noblis | Bethesda, MD, United States