Search Results for author:
Found 2 papers, 0 papers with code
An LSTM-Based Dynamic Customer Model for Fashion Recommendation
Online fashion sales present a challenging use case for personalized recommendation: Stores offer a huge variety of items in multiple sizes.
Fashion DNA: Merging Content and Sales Data for Recommendation and Article Mapping
Interpretation of the metric of these spaces is straightforward: The product of Fashion DNA and customer style vectors yields the forecast purchase likelihood for the customer-item pair, while the angle between Fashion DNA vectors is a measure of item similarity.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
