Hi Guys,

I faced with a problem of additive boosting.

2 fields: last_name and first_name.

User is searching for "mike t"

Query: (last_name:mike^15 last_name:mike*^7 first_name:mike^10
first_name:mike*^5) AND (last_name:t^15 last_name:t*^7 first_name:t^10
first_name:*^5)

The search result does not meet the expectations because score model
includes others statics of searching terms on the SOLR index. 
According to scoring formula of DefaultSimilarity the result score is a
multiplication.

The question is how to implement additive score model based on my boost
values ?



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