Hi,
I am trying to query for "fit pro" against my index where there is a
document with "fitpro" on one of its fields. Decided to take the following
approach with it:
- Create a reverse edgeNgram tokenizer
- Used the edgeNgram tokenizer only of index_analyzer
- Boost on match prefix and match (edgeNgram field)
Am getting the result after couple of hits down the list. Playing with the
weights is not changing much 
Any help would be much appreciated.
Index mapping is -
'settings':{
'number_of_shards': 1,
'number_of_replicas': 0,
"analysis": {
"filter" : {
"filter_edgeNgram" : {
"type" : "edgeNGram",
"min_gram" : "3",
"max_gram" : "6",
"token_chars": [ "letter", "digit" ]
}
},
"analyzer": {
"analyzer_ngram_rev" : {
"type":"custom",
"tokenizer": "standard",
"filter": ["standard", "lowercase", "asciifolding", "reverse",
"filter_edgeNgram", "reverse"]
},
"analyzer_stemmed" : {
"tokenizer":"standard",
"filter":["standard", "lowercase", "asciifolding", "kstem"]
}
}
}
}
},
ignore=400
Query is -
{
"from" : 0,
"size" : 60,
"query" : {
"function_score" : {
"query" : {
"filtered" : {
"query" : {
"bool" : {
"should" : [ {
"query_string" : {
"query" : "fit~1 pro~1 ",
"minimum_should_match" : "60%"
}
}, {
"match" : {
"name" : {
"query" : "fit",
"type" : "phrase_prefix"
}
}
}, {
"match" : {
"name_ngram_fwd" : {
"query" : "fit pro",
"type" : "boolean"
}
}
}, {
"match" : {
"name_stemmed" : {
"query" : "fit pro",
"type" : "boolean"
}
}
} ]
}
},
"filter" : {
"geo_distance" : {
"location" : [ 41.880001068115234, -87.62000274658203 ],
"distance" : "16km"
}
}
}
},
"functions" : [ {
"filter" : {
"geo_distance" : {
"location" : [ 41.880001068115234, -87.62000274658203 ],
"distance" : "16km"
}
},
"boost_factor" : 2.0
}, {
"filter" : {
"query" : {
"query_string" : {
"query" : "fit~1 pro~1 ",
"minimum_should_match" : "60%"
}
}
},
"boost_factor" : 1.0
}, {
"filter" : {
"query" : {
"match" : {
"name" : {
"query" : "fit",
"type" : "phrase_prefix"
}
}
}
},
"boost_factor" : 4.0
}, {
"filter" : {
"query" : {
"match" : {
"name_ngram_rev" : {
"query" : "fit pro"
}
}
}
},
"boost_factor" : 6.0
}, {
"filter" : {
"query" : {
"query_string" : {
"query" : "fit pro"
}
}
},
"boost_factor" : 2.0
} ],
"score_mode" : "multiply"
}
},
"fields" : "_source",
"script_fields" : {
"distance" : {
"script" : "doc['location'].distanceInKm(41.880001,-87.620003)"
}
}
}
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