我想按相同的类别和技术类型过滤数据。现在，我的查询如下生成：

{
  "from": 0,"size": 10,"highlight": {
    "pre_tags": [
      "<b>"
    ],"post_tags": [
      "</b>"
    ],"fields": {
      "title": {}
    }
  },"aggs": {
    "applied_filters": {
      "nested": {
        "path": "applied_filters"
      },"aggs": {
        "by_fid": {
          "terms": {
            "field": "applied_filters.fid"
          }
        }
      }
    }
  },"query": {
    "function_score": {
      "functions": [],"query": {
        "mlt": {
          "fields": [
            "str_BlogID","topic","fullText","authors","editors","issue","technologyTypeName","title^5","keywords^2"
          ],"like_text": "","ids": [
            "5269"
          ]
        }
      },"boost_mode": "sum","max_boost": 100.0
    }
  }
}

5269代表Blog ID。如果用户希望看到类似的博客，则应根据上述标准过滤数据。博客可以有多个类别，并且只有一种技术类型。
对于类别，如果Blog A包含类别C1，C2，C3，而Blog B包含类别C1，C2，C3，C4和C5。那么，博客B与博客A的博客类型相似。

有人可以帮我达到预期的效果吗？