Category: Analytics
Service: Amazon CloudSearch
Answer:
Amazon CloudSearch uses a variety of relevance ranking and advanced search features to provide accurate and relevant search results. Some of the key capabilities include:
Full-text search: Amazon CloudSearch uses full-text search capabilities to match search queries with indexed text data, including stemming and synonyms.
Boolean operators: Amazon CloudSearch supports Boolean operators such as AND, OR, and NOT to enable complex search queries.
Phrase search: Amazon CloudSearch enables phrase search to search for exact matches of phrases in the indexed text data.
Faceted search: Amazon CloudSearch supports faceted search, which enables users to filter search results based on pre-defined facets such as product category or price range.
Relevance ranking: Amazon CloudSearch uses a variety of relevance ranking factors such as text relevance, document freshness, and user behavior to rank search results in order of relevance.
Geospatial search: Amazon CloudSearch supports geospatial search, which enables users to search for data within a specified geographic area.
Custom ranking: Amazon CloudSearch allows users to customize relevance ranking based on their specific business needs.
The benefits of these capabilities include more accurate and relevant search results, improved user experience, and increased efficiency in searching large data sets. By leveraging these advanced search features, organizations can improve decision-making, accelerate time-to-insight, and enhance the overall user experience of their search applications.
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