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Choose a route using Suggest and the ability to highlight matched query terms

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Choose a route using Suggest and the ability to highlight matched query terms - Amazon Location Service

With the Suggest API, you get real-time autocomplete suggestions as users type their search queries for places or categories. Results are ranked by relevance, with the most likely matches appearing first. The API response includes highlighting information that shows how each suggestion matches the user's query.

Potential use cases

Use highlighting to show users which parts of each suggestion match their input, making it easier to quickly select the desired result.

Examples

When displaying the result list to users, the Highlights fields in the response can be used to help the user identify how the input has been matched to the results. In the example below, the user makes a query for “Effel tow”. This matches a result with the Title “Tour Eiffel (Eiffel Tower)”. Using the Highlights result field, the result can be styled to show where the input query was matched to the output, resulting in the text being showed to the user as “Tour Eiffel (Eiffel Tower).”

This example demonstrates how to use the Suggest API to look up a misspelled point of interest.

Sample request
{ "QueryText": "Effel tow", "Filter": { "Circle": { "Radius": 10000, "Center": [ 2.3431932014695382, 48.858844492141145 ] }, "IncludeCountries": [ "FRA" ] }, "AdditionalFeatures": [ "Core" ] }
Sample response
{ "ResultItems": [ { "Title": "Tour Eiffel (Eiffel Tower)", "SuggestResultItemType": "Place", "Place": { "PlaceId": "<Redacted>", "PlaceType": "PointOfInterest", "Address": { "Label": "Tour Eiffel, * Avenue Anatole France, ***** Paris, France", "Country": { "Code2": "FR", "Code3": "FRA", "Name": "France" }, "Region": { "Code": "IDF", "Name": "Île-de-France" }, "SubRegion": { "Name": "Paris" }, "Locality": "Paris", "District": "*e Arrondissement", "PostalCode": "*****", "Street": "Avenue Anatole France", "StreetComponents": [ { "BaseName": "Anatole France", "Type": "Avenue", "TypePlacement": "BeforeBaseName", "TypeSeparator": " ", "Language": "fr" } ], "AddressNumber": "5" }, "Position": [ 2.2945, 48.85824 ], "Distance": 3563, "Categories": [ { "Id": "historical_monument", "Name": "Historical Monument", "LocalizedName": "Monument historique", "Primary": true }, { "Id": "landmark-attraction", "Name": "Landmark-Attraction", "LocalizedName": "Lieu d'intérêt/Attraction", "Primary": false }, { "Id": "tourist_attraction", "Name": "Tourist Attraction", "LocalizedName": "Attraction touristique", "Primary": false }, { "Id": "sports_complex-stadium", "Name": "Sports Complex-Stadium", "LocalizedName": "Stade ou complexe sportif", "Primary": false } ] }, "Highlights": { "Title": [ { "StartIndex": 13, "EndIndex": 23, "Value": "Eiffel Tow" } ], "Address": {} } } ], "QueryRefinements": [] }
cURL
curl --request POST \ --url 'https://places.geo.eu-central-1.amazonaws.com/v2/suggest?key=Your_Key' \ --header 'Content-Type: application/json' \ --data '{ "QueryText": "Effel tow", "Filter": { "Circle": { "Radius": 10000, "Center": [ 2.3431932014695382, 48.858844492141145 ] }, "IncludeCountries": [ "FRA" ] }, "AdditionalFeatures": [ "Core" ] }'
AWS CLI
aws geo-places suggest --key ${YourKey} \ --query-text "Effel tow" \ --filter '{"Circle": {"Radius": 10000, "Center": [2.3431932014695382, 48.858844492141145]}, "IncludeCountries": ["FRA"]}' \ --additional-features "Core"

Highlight the query results with the Suggest API

This example demonstrates how to use the Suggest API to look up a misspelled point of interest.

Sample request
{ "QueryText": "Effel tow", "Filter": { "Circle": { "Radius": 10000, "Center": [ 2.3431932014695382, 48.858844492141145 ] }, "IncludeCountries": [ "FRA" ] }, "AdditionalFeatures": [ "Core" ] }
Sample response
{ "ResultItems": [ { "Title": "Tour Eiffel (Eiffel Tower)", "SuggestResultItemType": "Place", "Place": { "PlaceId": "<Redacted>", "PlaceType": "PointOfInterest", "Address": { "Label": "Tour Eiffel, * Avenue Anatole France, ***** Paris, France", "Country": { "Code2": "FR", "Code3": "FRA", "Name": "France" }, "Region": { "Code": "IDF", "Name": "Île-de-France" }, "SubRegion": { "Name": "Paris" }, "Locality": "Paris", "District": "*e Arrondissement", "PostalCode": "*****", "Street": "Avenue Anatole France", "StreetComponents": [ { "BaseName": "Anatole France", "Type": "Avenue", "TypePlacement": "BeforeBaseName", "TypeSeparator": " ", "Language": "fr" } ], "AddressNumber": "5" }, "Position": [ 2.2945, 48.85824 ], "Distance": 3563, "Categories": [ { "Id": "historical_monument", "Name": "Historical Monument", "LocalizedName": "Monument historique", "Primary": true }, { "Id": "landmark-attraction", "Name": "Landmark-Attraction", "LocalizedName": "Lieu d'intérêt/Attraction", "Primary": false }, { "Id": "tourist_attraction", "Name": "Tourist Attraction", "LocalizedName": "Attraction touristique", "Primary": false }, { "Id": "sports_complex-stadium", "Name": "Sports Complex-Stadium", "LocalizedName": "Stade ou complexe sportif", "Primary": false } ] }, "Highlights": { "Title": [ { "StartIndex": 13, "EndIndex": 23, "Value": "Eiffel Tow" } ], "Address": {} } } ], "QueryRefinements": [] }
cURL
curl --request POST \ --url 'https://places.geo.eu-central-1.amazonaws.com/v2/suggest?key=Your_Key' \ --header 'Content-Type: application/json' \ --data '{ "QueryText": "Effel tow", "Filter": { "Circle": { "Radius": 10000, "Center": [ 2.3431932014695382, 48.858844492141145 ] }, "IncludeCountries": [ "FRA" ] }, "AdditionalFeatures": [ "Core" ] }'
AWS CLI
aws geo-places suggest --key ${YourKey} \ --query-text "Effel tow" \ --filter '{"Circle": {"Radius": 10000, "Center": [2.3431932014695382, 48.858844492141145]}, "IncludeCountries": ["FRA"]}' \ --additional-features "Core"

Developer tips

Display search results using the Title response field to provide users with concise, recognizable entries. For results that might look similar, use the Place.Address.Label field to show additional address details that help users distinguish between them. For more information, see How to help users disambiguate between similar results.

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