Ecommerce has enabled retailers to make all of their products available to consumers and consumers to access niche products not found in brick-and-mortar stores. This growth provides consumers with unparalleled choice. Nonetheless, the sheer number of products brings with it the challenge of helping users find relevant products with ease.
Lazada has tens of millions of products on its platform, and this number grows by approximately one million monthly. Lazada’s challenge: How can we help users easily discover good quality products they will like? How can we ensure product selection remains fresh and constantly updated?
One way to do this is through the ranking of products. Via ranking, Lazada helps customers easily find products that will delight them by ensuring these products appear in the first few pages. I’ll share how Lazada ranks products on our website. (Note: Google “how amazon ranks products” for some industry background)
Topics include how we:
Eugene Yan is a data scientist at Lazada working on product and user problems to improve the online shopping experience for consumers and sellers across Southeast Asia. Passionate and experienced in using data to build data products and create positive impact, he is proficient in research design, data preparation, feature engineering, machine learning, ensemble, validation, and A/B testing. Also familiar with Python, Scala, Spark, R, SQL, Elastic, AWS, and software engineering and production practices.
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