Fashion DNA: Merging Content and Sales Data for Recommendation and Article Mapping
Related content
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Description
We present a method to determine Fashion DNA, coordinate vectors locating fashion items in an abstract space. Our approach is based on a deep neural network architecture that ingests curated article information such as tags and images, and is trained to predict sales for a large set of frequent customers. In the process, a dual space of customer style preferences naturally arises. 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. Importantly, our models are able to generate unbiased purchase probabilities for fashion items based solely on article information, even in absence of sales data, thus circumventing the “cold–start problem” of collaborative recommendation approaches. Likewise, it generalizes easily and reliably to customers outside the training set. We experiment with Fashion DNA models based on visual and/or tag item data, evaluate their recommendation power, and discuss the resulting article similarities.
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Reviews and comments:
There is Black Friday Sales every year on the Friday after Thanksgiving Day, or the Friday after the Thanksgiving holiday, with the goal of encouraging consumers to buy more. Many stores have sales going on throughout the entire holiday season, but they reach a crescendo on the Friday after Thanksgiving with big savings on electronics, furniture, clothes and toys.
https://vibendeals.com/
The company’s flagship product is the iconic plastic brick, which has been sold worldwide for decades. There are many different types of Lego sets, but one of the most popular is the <a href="https://blackfridaydad.com/lego-adventures-with-mario-black-friday-deals-2022/">Lego Mario Set Deals</a>. This particular set includes various Lego pieces you can build into different Lego creations, including the iconic brick-built house that Mario and Luigi live in.
Write your own review or comment: