What changes did the COSMO algorithm bring to Amazon's internal site?

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The introduction of COSMO is more of an addition and improvement to the A9 algorithm, especially in terms of understanding user intent and improving the accuracy of the search and recommendation system. COSMO improves the shopping experience and search efficiency through more accurate identification of user intent and personalized recommendations. Therefore, the A9 algorithm will not become history, but will continue to evolve to adapt to new trends in e-commerce.

The COSMO algorithm paper states that COSMO not only extends the knowledge graph to Amazon's 18 core categories, but has also been successfully implemented in various Amazon search applications, including search relevance, user conversation-based recommendations, and search navigation. It also points to significant achievements.

Some experienced Amazon sellers have also felt the effects of the new algorithm. Some sellers have noticed that the rankings of some newly introduced niche products are steadily increasing, while some mainstream products that once dominated the top of the rankings seem to have lost their competitive edge. Sales and rankings are no kazakhstan number data longer holding their high positions, and even price promotions are not as effective as they once were.

This indicates that due to the introduction of the new algorithm, the results that shoppers receive from keyword searches are likely to no longer be uniform bestsellers. On top of the A9 database, an additional calculation of potential buyer intent occurs, which allows for deeper shopper needs to be addressed and more accurate searches for products that meet those needs.

Take maternity shoes as an example. The traditional A9 algorithm can only recommend generic "maternity shoes" to shoppers based on relevance and performance, without taking into account the special anti-slip properties of pregnant women.