Best Practices on Recommendation Systems. Contribute to recommenders-team/recommenders development by creating an account on GitHub.

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Tl;dr: Music and podcast search are different, and a carefully designed multi-task model will be essential for search in modern audio streaming platforms. Spotify has a vast catalog of music and podcasts. It is so vast that without advanced search and recommendation…

Booking.com’s mission is to make it easier for everyone to experience the world. By investing in the technology that helps take the…

How YouTube's recommendation system works: Understand how videos are suggested and how to optimize your content for discovery.

A review of the opportunities with humans, computers, and software.

Learn How To Build System Design And Recommendation Algorithm Like Uber, YouTube, WhatsApp, Twitter, Amazon, Zomato, Netflix, etc.

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Posted by Sian Gooding, Intern, Google Research Illiteracy affects at least 773 million people globally, both young and old. For these individuals,...

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Personalization is the biggest trend in tech, and an omnipresent force in consumers' lives. But not all personalization is created equal.

Music streaming platforms rely heavily on learning meaningful representations of tracks to surface apt recommendations to users in a number of different use cases. In this work, we consider the task of learning music track representations by leveraging three…

Salesforce AI researchers have developed a new data-driven framework to improve the diversity and explainability of enterprise app recommendation systems.

Recommendation engines support most modern digital platforms, allowing users to navigate vast databases of products in Amazon, homes in AirBnB, videos in YouTube and music in Spotify. However, content in all these platforms is provided by creators, such as…