Re: nGram filter and relevance score

[Torben]

If anyone is interested:

I resolved this issue by replacing the nGram filter with a nGram tokenizer:

{
    "settings": {
        "number_of_shards": 1,
        "number_of_replicas": 0,
        "analysis": {
            "analyzer": {
                "my_index_analyzer": {
                    "type": "custom",
                    "tokenizer": "my_ngram_tokenizer",
                    "filter": [
                        "lowercase"
                    ]
                },
                "my_search_analyzer": {
                    "type": "custom",
                    "tokenizer": "whitespace",
                    "filter": [
                        "lowercase"
                    ]
                }
            },
            "tokenizer" : {
                    "my_ngram_tokenizer" : {
                        "type" : "nGram",
                        "min_gram" : "1",
                        "max_gram" : "50"
                    }
            }
        }
    }
}

Now, the term "barfoobar" has a higher score than "blablablafoobarbarbar".

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