Training a recommender model of 100 trillions parameters on Google Cloud | Google Cloud Blog
Training Deep Learning-based recommender models of 100 trillion parameters over Google Cloud Training recommender models of 100 trillion parametersA recommender system is an important component of Internet services today: billion dollar revenue businesses are directly driven by recommendation services at big tech companies. The current landscape of production recommender systems is dominated by de
"Item Recommendation from Implicit Feedback"の紹介 | | AI tech studio
AILab Creative Researchチームの富樫です。 このブログでは先月末にarxivに投稿された“Item Recommendation from Implicit Feedback”[1]という論文を軸に紹介しつつ、 周辺分野の話題について議論したいと思います。 この論文はitem推薦というタスクにおける手法の各種パラダイムの概観をコンパクトに解説した教科書的内容になっています。 著者はBayesian Personalized Ranking (BPR)[2]を開発したGoogle Research所属のSteffen Rendle氏であり、 長年この分野を開拓してきた権威の一人です。 元論文の内容は元論文を読めばわかることですし、 蛇足かもしれませんが、最近の研究との関連性や議論、個人的な感想などを示すことで、このブログが元論文に対する補足資料のようになることを目指した
Inside Sibyl, Google's Massively Parallel Machine Learning Platform
Inside Sibyl, Google’s Massively Parallel Machine Learning Platform If you’ve ever wondered how your spam gets identified in Gmail or where personal video recommendations come from on YouTube, the answer is likely Sibyl, a massively parallel machine learning system that Google developed to make predictions and recommendations with user-specific data culled from its Internet applications. Dr. Tusha
YouTube uses Amazon's recommendation algorithm
In a paper at the recent RecSys 2010 conference, "The YouTube Video Recommendation System" (ACM), eleven Googlers describe the system behind YouTube's recommendations and personalization in detail. The most interesting disclosure in the paper is that YouTube has switched from their old recommendation algorithm based on random walks to a new one based on item-to-item collaborative filtering. Item-t
Google News hybrid recommendations
Three Googlers published a paper, "Personalized News Recommendation Based on Click Behavior" (ACM), at the recent IUI 2010 conference that describes a hybrid recommender system combining user-based and content-based recommendations. This new hybrid recommender now appears to be deployed on Google News. Some excerpts from the paper:[The] previous Google News recommendation system was developed usin
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Recommendation Systems Overview | Machine Learning | Google for Developers
I Built an AI Stylist Inspired by Social Media
Can AI make me trendier?
