Bayesain Updates - Changing the Game of Ranking In this episode of
Seller Sessions, Danny and Oana unveil their latest collaborative article, which delves into Amazon's patents and algorithms, particularly focusing on the evolution from 2022 to 2023. This monumental piece—over 10,000 words—aims to be the most extensive public resource on Amazon's A9 algorithm, tracking its history and impact. Article Origins and Team Effort -Danny and Oana teamed up for several papers, each expanding in scope. Their latest collaboration incorporates insights from two patents and 15-16 additional scientific papers. -The goal: Analyze the algorithm changes between 2022 and 2023, highlighting key differences and their implications for sellers. Key Themes Covered -BERT, Cosmo, and External Traffic: Deep dive into these technologies and how they impact ranking, visibility, and traffic management. -Sales Velocity and Cold Start Mechanisms: The duo explores how Amazon’s cold start problem has evolved, driven by Bayesian updates and machine learning. -Honeymoon Period Myth: A thorough debunking of the concept, explaining why it no longer holds true after algorithm changes in 2022. Data-Driven Approach This project digs into how Amazon now processes data, with updates to ranking and product visibility happening every 2-24 hours. The emphasis is on personalization, driven by Amazon’s focus on conversion likelihood, making an optimized launch strategy critical. Amazon’s Shift Towards Personalization -Amazon’s increasing focus on tailored customer experiences, from personalized search results to dynamically adjusted product titles. -Concerns about how machine learning models, like Cosmo and Rufus, will continue to evolve and potentially override manual optimizations sellers make. Tune in to gain the edge on launching your products and mastering Amazon's constantly evolving system.
READ THE ARTICLE HERE
