# App Search - Scoring algorithm in B2B and multi-entity model
**URL:** https://discuss.elastic.co/t/app-search-scoring-algorithm-in-b2b-and-multi-entity-model/311542
**Category:** Elastic Search
**Tags:** elastic-app-search
**Created:** [August 5, 2022, 1:32pm UTC](https://discuss.elastic.co/t/app-search-scoring-algorithm-in-b2b-and-multi-entity-model/311542 "2022-08-05T13:32:16Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@Gerardo\_Zenobi](https://discuss.elastic.co/u/Gerardo_Zenobi)
#### Post date: [August 5, 2022, 1:32pm UTC](https://discuss.elastic.co/t/app-search-scoring-algorithm-in-b2b-and-multi-entity-model/311542/1 "2022-08-05T13:32:16Z")
Hi 👋
### Context
We have a B2B product. We would like to index different types of entities (e.g. User, Training, Group, etc). [It was recommended](https://discuss.elastic.co/t/multiple-entity-type-indexing-and-search/306718) that the best approach here would be to use one engine per entity.
### Problem/Question
After reading this [article](https://www.infoq.com/articles/similarity-scoring-elasticsearch/) that described how documents are scored, I had the following questions:
- By keeping entities separate in different engines: are we somewhat disadvantaging ourselves because we won't be deriving our inverse document frequencies from the whole corpus (all the entities combined) — rather just, say, from each entity's corpus ?
At the same time, given our product is B2B and that our clients come from all sort of industries:
- is it correct to assume that we wouldn't want the rarity/inverse document frequency of each term to be based on its rarity across all of our clients' data, but only within the documents of a given client (1 client= 1 corpus) ?
- if indeed the above was a problem, would the only solution be having engines by client ? (though I would be scared that having thousands of clients would complexify the solution in this case).
Perhaps there’s a way to tell ES to calculate IDFs based on a subset of the docs in an index?
Thanks in advance.
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### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [September 2, 2022, 1:32pm UTC](https://discuss.elastic.co/t/app-search-scoring-algorithm-in-b2b-and-multi-entity-model/311542/2 "2022-09-02T13:32:25Z")
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