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Amazon COSMO Impact On Search
By ZonSupport | Posted on May 27, 2024| BlogAmazon’s introduction of COSMO (Common Sense Knowledge Generation) is already having a significant impact on how sellers need to position themselves.
We have followed Ecomtent for some time and find that their blogs offer direct insight into what is happening right now.
Here’s a summary of their recent blog on COSMO.
This system will underpin its AI Search by reshaping how we all shop. It is designed to understand customer behavior and the intent behind their search.
COSMO harnesses the power of Large Language Models (LLMs) to mine user-centric commonsense knowledge from a plethora of behaviours and construct expansive knowledge graphs. This system enhances e-commerce search by filling the gap between basic product attributes and understanding deeper user intentions and behaviors.
COSMO refines raw data from LLMs using human-in-the-loop annotated data and instruction tuning, producing high-quality, efficient language models (COSMO-LM) that align more closely with human preferences.
This advancement enables Amazon to expand its knowledge graph across 18 major categories, creating millions of high-quality knowledge assertions from only 30,000 annotated instructions.
Significantly, COSMO has been integrated into various Amazon search applications, including search relevance, session-based recommendation, and search navigation, with both offline and online experiments demonstrating substantial improvements.
COSMO is set to revolutionize Amazon’s search functionality by bridging the semantic gap between customer queries and product catalogs.
For instance, a customer searching for “winter clothes” is likely looking for garments that provide warmth, but conventional search algorithms may not always make this common-sense connection. COSMO enhances search relevance by infusing common-sense knowledge into the process, thereby aligning search results more closely with user intentions.
To leverage COSMO’s capabilities, Amazon Sellers should consider the following strategies:
Enhance Product Listings:
Sellers must optimize their product titles, descriptions, and metadata to be as descriptive and clear as possible, with a focus on aligning with customer intentions and common sense associations.
Utilize Data Insights:
Sellers should use the data provided by Amazon to understand how customers are finding and interacting with their products. This information can guide adjustments in product offerings and marketing strategies.
Stay Aligned with Customer Intentions:
As COSMO evolves, it will continuously identify new customer trends and preferences. Sellers need to be agile in adapting their strategies to align with these insights.
Encourage Customer Engagement:
Post-purchase feedback and reviews are crucial. They contribute to the knowledge graph, influencing future search relevance and recommendations. They also provide valuable insights for sellers to improve their product offerings and customer service.
We strongly recommend that you follow Ecomtent as part of your overall strategy to keep up to date with leveraging AI in your ecommerce business. They offer a free demo which is a great way to get ahead of other sellers who have yet to embrace this new frontier.
As always, ask us anything. If we don’t know the answer, we’ll know someone who does!
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