Which solution will meet this requirement with the LEAST operational effort?
Use the Amazon SageMaker BlazingText algorithm to add context to search results through query expansion.
Use the Amazon SageMaker XGBoost algorithm to improve candidate ranking.
Use Amazon CloudSearch and sort results by the search relevance score.
Use Amazon CloudSearch and sort results by the geographic location.
Explanations:
While the Amazon SageMaker BlazingText algorithm can enhance search results through query expansion, implementing it requires more operational effort for model training and deployment, which is not ideal for the requirement of minimal effort.
The Amazon SageMaker XGBoost algorithm can improve candidate ranking by learning from data, but it also necessitates significant operational effort for training and maintaining the model, making it less suitable for immediate implementation.
Amazon CloudSearch can efficiently manage and rank search results based on relevance scores with minimal setup and operational overhead. This aligns perfectly with the requirement of presenting the most relevant search results to customers.
Sorting search results by geographic location may not address the core issue of relevance in search results and does not inherently improve the matching of products to customer intent, making it an inadequate solution for the stated problem.
I value that the answer is:
Use Amazon CloudSearch and sort results by the search relevance score.