URL details: kojinoshiba.com/recsys-cold-start/
URL title:
Tackling the Cold Start Problem in Recommender Systems - Kojin Oshiba
URL description:
As part of my machine learning internship at Wish, I’m tackling a common problem in recommender systems called the “cold start problem”. Cold start happens when new users or new items arrive in e-commerce platforms. Classic recommender systems like collaborative filtering assumes that each user or item has some ratings so that we can infer ratings of similar users/items even if those ratings are unavailable. However, for new users/items, this becomes hard because we have no browse, click or purchase data fo
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