Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Rhonda Textor

Rhonda Textor
Head of Data Science, True Fit

Rhonda Textor is the head of data science at True Fit, a platform dedicated to helping shoppers find clothes and shoes they love and keep. Rhonda is passionate about modeling fit and style elements of both shoppers and garments in order to recommend products to shoppers that they love and that fit and flatter. Previously, Rhonda applied machine learning and data science to problems in remote sensing such as land cover classification of satellite images and problems in national security, such as detecting threats in imagery.

Sessions

9:05am–9:30am Tuesday, March 26, 2019
Leveraging fashion data to make shopping recommendations
Location: 2022
Rhonda Textor (True Fit)
Average rating: ****.
(4.25, 4 ratings)
Fashion recommendation problems are characterized by sparse datasets and large catalogs of styles that have short lifespans—areas traditional transaction-based approaches are not well suited to address. Rhonda Textor explains how to transform raw retail data into scalable recommendations using widely available machine learning libraries. Read more.