recommender – Andrew Fairless, Ph.D.

What I Read: Replacements

By Andrew Fairless on March 17, 2025November 20, 2024

https://tech.instacart.com/how-instacart-uses-machine-learning-to-suggest-replacements-for-out-of-stock-products-8f80d03bb5af?gi=a743b3b54c9f How Instacart Uses Machine Learning to Suggest Replacements for Out-of-Stock ProductsAhsaas BajajNov 7, 2024 “You’ve carefully chosen each item, but then you’re notified that some products might not beContinue readingWhat I Read: Replacements

What I Read: Few Shot, Recommenders, LLMs

By Andrew Fairless on May 30, 2023May 1, 2023

https://blog.reachsumit.com/posts/2023/04/llm-for-recsys/ Zero and Few Shot Recommender Systems based on Large Language ModelsSumit Kumar2023-04-10 “Many researchers have recently proposed different approaches to building recommender systems using LLMs. These methods convert differentContinue readingWhat I Read: Few Shot, Recommenders, LLMs

What I Read: Graph Neural Networks

By Andrew Fairless on May 17, 2023March 30, 2023

https://www.assemblyai.com/blog/ai-trends-graph-neural-networks/ AI trends in 2023: Graph Neural NetworksMarco RamponiDeveloper Educator at AssemblyAIMar 21, 2023 “In the last couple of years Graph Neural Networks have quietly become the dark horse behindContinue readingWhat I Read: Graph Neural Networks

What I Read: recommender system architectures

By Andrew Fairless on March 23, 2023February 6, 2023

https://amatriain.net/blog/RecsysArchitectures Blueprints for recommender system architectures: 10th anniversary editionXavier AmatriainJanuary 29, 2023 “Ten years ago, we published a post in the Netflix tech blog explaining our three-tier architectural approach toContinue readingWhat I Read: recommender system architectures

What I Learn: Preferences in Recommender Systems

By Andrew Fairless on January 23, 2023December 4, 2022

https://medium.com/understanding-recommenders/what-does-it-mean-to-give-someone-what-they-want-the-nature-of-preferences-in-recommender-systems-82b5a1559157 What Does it Mean to Give Someone What They Want? The Nature of Preferences in Recommender SystemsLuke Thorburn, Jonathan Stray, Priyanjana BenganiMar 11 “We’ll propose… concrete ways to buildContinue readingWhat I Learn: Preferences in Recommender Systems

What I Read: end-to-end, infrastructure, recommendations

By Andrew Fairless on November 7, 2022September 27, 2022

Recommend API Recommend APIUnified end-to-end machine learning infrastructure to generate recommendationsKatrina Ni Senior Software Engineer, Machine LearningAaron Maurer Senior Manager, Software EngineeringSeptember 6, 2022 “…we developed a unified framework weContinue readingWhat I Read: end-to-end, infrastructure, recommendations

What I Read: Mistakes, Recommendation System

By Andrew Fairless on September 7, 2022August 3, 2022

https://medium.com/@FunCorp/ten-mistakes-to-avoid-when-creating-a-recommendation-system-8268ed60aeba Ten Mistakes to Avoid When Creating a Recommendation SystemFunCorpAuthor: Alexander Dzhumurat, Lead of DS team at FunCorp.Jul 27 “Here are our ten key lessons of implementing recommendation systems inContinue readingWhat I Read: Mistakes, Recommendation System

What I Read: Bandits for Recommender Systems

By Andrew Fairless on June 8, 2022May 23, 2022

https://eugeneyan.com/writing/bandits/ Bandits for Recommender Systemseugeneyan “Recommender systems work well when we have a lot of data on user-item preferences…. Conversely, with very little data, we have low certainty…. Bandits addressContinue readingWhat I Read: Bandits for Recommender Systems

What I Read: Real World Recommendation System

By Andrew Fairless on May 25, 2022April 25, 2022

https://blog.fennel.ai/p/real-world-recommendation-system?s=r Real World Recommendation System – Part 1Nikhil GargApr 10 “Training a collaborative filtering based recommendation system on a toy dataset is a sophomore year project in colleges these days.Continue readingWhat I Read: Real World Recommendation System

Tag: recommender