Proportionally mix results from two different searches on same index

I have dating app where users can like\dislike each other.
I use filters provided by user to search profiles, let's call these general results. I'd like to mix these with users who liked requesting user ( liked ) in some ratio, e.g. 1 to 5 (1 person who belongs to liked per 5 general profiles). Right now I implemented this via 2 separate queries and msearch, simplified query looks like this ( liked is an array of ids):

/_msearch

{ "index": "users" }
{
  "query": {
    "bool": {
      "must_not": [
        {
          "terms": {
            "_id": liked
          }
        }
      ],
  "filter": [...]
    }
  }
}
{ "index": "users" }
{
  "query": {
    "bool": {
      "filter": [
        {
          "terms": {
            "_id": liked
          }
        }
      ]
    }
  }
}

And then I mix them in code. I'd like to know whether it's somehow possible to avoid using msearch and do this is single query while preserving ratio -- 1/5 from second query and 4/5 from first one?