OpenSearch Industry Algorithm Edition provides extended features such as search result display, search result summary, search testing, and slow query analysis and optimization.
Overview
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The A/B test feature allows you to route a specific proportion of queries to a test group before using a feature in your online business. This helps you validate features and prevent negative impacts on your online business. For more information, see A/B test.
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Default display fields specify which fields in the application schema are retrieved and returned for each search request. For more information, see Default display fields.
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The search result summary feature highlights and displays relevant content segments that contain query terms, helping users quickly assess whether a document meets their needs. You can configure display effects in the OpenSearch console. After configuration, API operations automatically apply these settings to search queries without requiring you to pass in the summary parameter again. For more information, see Search Result Summary.
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The Search Test page in the OpenSearch console allows you to run search tests by configuring clauses and parameters after a data source is set up. For more information, see Run search tests.
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The report statistics feature provides search reports such as page views (PVs), item page views (IPVs), and click-through rate (CTR) to help you understand user reactions to search results. You can use behavioral feedback data to train search and sort algorithm models and improve search quality. For more information, see Data collection V2.0.
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Slow queries can occur due to factors such as inappropriate operations, excessive filter conditions, or QPS spikes. The slow query analysis feature shows details of queries that consume heavy logical computing unit (LCU) resources and provides optimization suggestions to help you reduce costs. For more information, see Query optimization.