Ngram score and length

Elastic Stack Elasticsearch
1

Hi,

I noticed that when using the following:

analysis:
                filter:
                    ngram:
                        type: nGram
                        min_gram: 2
                        max_gram: 32
                    arabic_stop:
                        type: stop
                        stopwords: _arabic_
                    arabic_stemmer:
                        type: stemmer
                        language: arabic

analyzer:
                    search_arabic:
                        tokenizer: keyword
                        filter:
                            - lowercase
                            - arabic_normalization
                    index_arabic_ngram:
                        tokenizer: standard
                        filter:
                            - lowercase
                            - arabic_normalization
                            - ngram
                    search_arabic_ngram:
                        tokenizer: standard
                        filter:
                            - lowercase
                            - arabic_normalization

nameAr:
                        type: text
                        analyzer: search_arabic
                        fields:
                            ngram:
                                type: text
                                analyzer: index_arabic_ngram
                                search_analyzer: search_arabic_ngram
                            raw:
                                type: keyword
                                index: false

And I'm querying nameAr.ngram with a Match query. I noticed that some phrases have bigger score even though they are longer. Example: you search "word" and "some word here" has lower score than "word in another phrase", What would be the easieast way to boost the criteria of length in ES 6.3?

2

Anyone, please?

3

This topic was automatically closed 28 days after the last reply. New replies are no longer allowed.