Simplifying Book Discovery with ML-Powred Visual AutocompleTe suggestions

Simplifying Book Discovery with ML-Powred Visual AutocompleTe suggestions

Every day, millions of customers search for books in different formats (audiobooks, ebooks and physical books) across Amazon and Audible. Traditional keywords AutocompleTe suggestions, while useful, usually require several steps before customers find their desired content. Audible assumed the challenge of making Book Discovery more intuitive and personal while reducing the number of steps to … Read more

Utilizing transformers to improve the results of the product recovery

Utilizing transformers to improve the results of the product recovery

When a customer clicks on a product on a list of product search results, it means that this item is better than those not clicked. “Learning how to rank” Models utilize such implicit feedback to improve search results, compare clicks and remove results in either “pairs” (compare peers of results) or list (judge a result … Read more