similarQuery
'similarQuery' => "query"
Can be used in these methods:
search,
browseObjects,
searchForFacetValues,
generateSecuredApiKey,
addApiKey,
updateApiKey
search,
browse_objects,
search_for_facet_values,
generate_secured_api_key,
add_api_key,
update_api_key
search,
browseObjects,
searchForFacetValues,
generateSecuredApiKey,
addApiKey,
updateApiKey
search,
browse_objects,
search_for_facet_values,
generate_secured_api_key,
add_api_key,
update_api_key
search,
browse,
searchForFacetValues,
generateSecuredApiKey,
addAPIKey,
updateAPIKey
search,
browseObjects,
searchForFacetValues,
generateSecuredApiKey,
addApiKey,
updateApiKey
Search,
Browse,
SearchForFacetValues,
GenerateSecuredApiKey,
AddApiKey,
UpdateApiKey
Search,
browse,
searchForFacetValues,
generateSecuredApiKey,
addApiKey,
updateApiKey
Search,
BrowseObjects,
SearchForFacetValues,
GenerateSecuredAPIKey,
AddAPIKey,
UpdateAPIKey
search,
browse index,
search into facet values,
generateSecuredApiKey,
add key,
update key
About this parameter
Overrides the query parameter and performs a more generic search that can be used to find “similar” results.
Usage notes
similarQuery
should be constructed from the tags and keywords of the object you are trying to find related results to.
similarQuery
is not automatically generated. You need to select which keywords you think would be useful. For example, a similarQuery
for a movie could use the genre, principle actors, and tags attributes. After extracting information from those categories, you might end up with a similarQuery
that looks like: “Romance Comedy Gordon-Levitt NY”. Check out the examples section for a more detailed walk-through.
Use of this parameter changes the search settings in four ways:
- Sets queryType to
prefixNone
(no prefix match).- matched prefixes are not counted as word matches.
- Sets removeStopWords to
true
.- stop words like ‘the’, ‘a’, ‘an’ are removed.
- Treats all remaining words (all non-stopwords) as optional.
- objects that match any word in similarQuery will be returned.
- note, your
similarQuery
will likely invoke the caveat behavior of theoptionalWords
parameter!
- Sets words to be the first ranking criteria
- the number of exactly matching words is the first ranking criteria.
Note, because the optionalWords
parameter (which is leveraged by similarQuery
) can yield a high volume of results, you should add filters and optional filters to your similar searches.
Examples
Search with similarQuery
This example demonstrates the construction of a similarQuery
from a returned movie object. The movie, “Fargo”, is represented by the follwoing JSON
:
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{
"title": "Fargo",
"year": 1996,
"director": "Joel Coen",
"cast": [
"Frances McDormand",
"William H. Macy",
"Steve Buscemi",
"Peter Stormare",
"Harve Presnell"
],
"genres": [
"Comedy",
"Drama",
"Crime"
],
"tags": [
"black-comedy",
"americana",
"coen-brothers",
]
"objectID": "97327292",
"budget": 7000000
}
From this object, on the backend, we generate similarQuery
by extracting words from genres, cast, and director. We turn these extracted words into a long query string.
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similarQuery = "Comedy Drama Crime McDormand Macy Buscemi Stormare Presnell Coen"
Despite the long query string, this will return many results because all words are optional. Therefore, we should add a filter to make sure we get only the best results. Lets filter on release dates that are within five years of Fargo’s release year: 1991 to 2001. To accomplish this we want to add a filter on the year attribute.
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filter = "year:1991 TO 2001"
finally we put it together into a search call.
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$results = $index->search('', [
'similarQuery' => 'Comedy Drama Crime McDormand Macy Buscemi Stormare Presnell Coen',
'filters' => 'year:1991 TO 2001'
]);