Will Amazon's A9 Algorithm Become a Thing of the Past?

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The COSMO algorithm, mimicking the human brain, better understands what users are looking for during searches. It goes beyond the keywords entered by the user and assumes what the user may want to buy, thereby providing more personalized product recommendations.



Based on the information about the new algorithm that was published, the COSMO algorithm refers to a machine learning algorithm that optimizes product ranking and user-centric recommendation systems. This algorithm focuses on extracting deeper purchase intent from user behavior by analyzing data such as user purchase history and browsing habits, intelligently matching products that may interest the user, thereby achieving a more personalized shopping experience.

The COSMO algorithm is different from the well-known A9 algorithm. The A9 algorithm determines the appearance and position of products in customer search results based on relevance and kazakhstan number data performance factors such as sales rank, price, conversion rate, click-through rate, reviews, and customer satisfaction. The core of the COSMO algorithm, on the other hand, is to map users and products into a common vector space. By calculating the similarity between user vectors and product vectors, it predicts products that users are likely to be interested in and prioritizes recommendations accordingly.



Does the introduction of the new algorithm mean that A9 will become a thing of the past?

In fact, this is not true. As the "landlord" of the Amazon platform, the A9 algorithm that Amazon prides itself on will definitely continue to exist. A9, as the core of Amazon's SEO search engine, will still play an important role in the future search engine.