Search workloads
Full-text search capabilities empower customer applications within internal networks, including content management systems and legal documents. Additionally, they are used in internet-facing applications such as catalog search on ecommerce websites and content search. Let's explore a scenario in which Amazon OpenSearch Service is used in the context of an ecommerce platform.
Use case: E-commerce product search
Scenario
Imagine you're managing the search functionality for an ecommerce website. Your goal is to leverage Amazon OpenSearch Service for efficient and relevant product searches, providing users with a seamless shopping experience.
Needed actions
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Index product data: Index your product catalog in Amazon OpenSearch Service. Each product is represented by a document containing attributes such as name, description, category and price. Define an appropriate mapping for the product index.
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Use full-text search: Provide users the ability to search for products efficiently by using term matching queries with Amazon OpenSearch Service's full-text search capabilities. You can also implement a search-as-you-type feature to provide real-time suggestions as users type in the search bar.
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Use bucket and aggregation search: Use aggregation and bucket search so that users can narrow down results by attributes like brand, category, size, and color. This enhances the user experience by providing filters to refine their search results.
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Sort and rank: You can use OpenSearch's scoring capabilities to verify that search results are relevant and displayed in an order that meets user expectations.
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Add synonym and typo handling: You can add synonym support and handle typos with features like fuzziness to provide relevant results to users despite synonyms or minor spelling mistakes.
