Recommender system

1. The Development of Transferable Recommender Systems The core goal of recommender systems is to predict the most likely next interaction by modeling the user's historical behavior. This goal is particularly challenging when there is limited user interaction history, which has long plagued the development of recommender systems, known as the cold-start problem. In cold-start scenarios, such as in newly established recommendation platforms with limited interaction sequences for new users, the early stages of model…

Recommender systems have become an integral part of our daily lives, powering the personalized recommendations that we receive on social media, e-commerce platforms, and streaming services. These systems are designed to make our lives easier by suggesting products, services, and content that are relevant to our interests and preferences. However, as powerful as these systems are, they are not perfect, and there are concerns about their fairness, especially in terms of how they impact marginalized groups.  In this article,…

Illustration: Phonlamai Photo (Shutterstock)The prominent model of information access and retrieval before search engines became the norm – librarians and subject or search experts providing relevant information – was interactive, personalized, transparent and authoritative. Search engines are the primary way most people access information today, but entering a few keywords and getting a list of results ranked by some unknown function is not ideal.A new generation of artificial intelligence-based information access…

What Is a Recommender System? A recommender system is a software engine developed to suggest products and services for a given set of customers. While there are multiple ways in which these systems recommend products, the most common is by analyzing a customer's previous purchasing patterns by storing data related to previous purchases, positive and negative reviews, saves/adds to lists, views, and more. So why do businesses such as Amazon and Netflix spend small fortunes building and improving these systems? Because…

YouTube has already stopped videos from displaying the number of dislikes it’s received, but apparently giving a video a thumbs down doesn’t change how many similar videos the platform recommends you.Photo: Wachiwit (Shutterstock)My YouTube recommendations are full of old reruns of Gordon Ramsay’s Kitchen Nightmares. It might be partly my mistake for getting drunk one night and watching a full episode. Let me tell you, if there’s one thing I don’t want anymore on my feed it’s the famous blowhard Brit tearing down another…