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  • Elasticsearch四种常见的相关度分数优化方法

    **1、boost方式 **
    简单粗暴,最常用。

    需求:查询出title和content中包含java spark的document

    方式1:

    GET /forum/article/_search
    {
      "query": {
        "bool": {
          "should": [
            {
              "match": {
                "title": "java spark"
              }
            },
            {
              "match": {
                "content": "java spark"
              }
            }
          ]
        }
      }
    }
    

    结果:

    {
      "took": 3,
      "timed_out": false,
      "_shards": {
        "total": 5,
        "successful": 5,
        "failed": 0
      },
      "hits": {
        "total": 2,
        "max_score": 0.970927,
        "hits": [
          {
            "_index": "forum",
            "_type": "article",
            "_id": "5",
            "_score": 0.970927,
            "_source": {
              "articleID": "DHJK-B-1395-#Ky5",
              "userID": 3,
              "hidden": false,
              "postDate": "2017-03-01",
              "tag": [
                "elasticsearch"
              ],
              "tag_cnt": 1,
              "view_cnt": 10,
              "title": "this is spark blog",
              "content": "spark is best big data solution based on scala ,an programming language similar to java spark",
              "sub_title": "haha, hello world",
              "author_first_name": "Tonny",
              "author_last_name": "Peter Smith",
              "new_author_last_name": "Peter Smith",
              "new_author_first_name": "Tonny"
            }
          },
          {
            "_index": "forum",
            "_type": "article",
            "_id": "2",
            "_score": 0.8849759,
            "_source": {
              "articleID": "KDKE-B-9947-#kL5",
              "userID": 1,
              "hidden": false,
              "postDate": "2017-01-02",
              "tag": [
                "java"
              ],
              "tag_cnt": 1,
              "view_cnt": 50,
              "title": "this is java blog",
              "content": "i think java is the best programming language",
              "sub_title": "learned a lot of course",
              "author_first_name": "Smith",
              "author_last_name": "Williams",
              "new_author_last_name": "Williams",
              "new_author_first_name": "Smith"
            }
          },
        ]
      }
    }
    

    方式2:

    GET /forum/article/_search
    {
      "query": {
        "bool": {
          "should": [
            {
              "match": {
                "title": {
                  "query": "java spark",
                  "boost" : 2
                }
              }
            },
            {
              "match": {
                "content": "java spark"
              }
            }
          ]
        }
      }
    }
    

    结果:

    {
      "took": 3,
      "timed_out": false,
      "_shards": {
        "total": 5,
        "successful": 5,
        "failed": 0
      },
      "hits": {
        "total":2,
        "max_score": 1.258609,
        "hits": [
          {
            "_index": "forum",
            "_type": "article",
            "_id": "5",
            "_score": 1.258609,
            "_source": {
              "articleID": "DHJK-B-1395-#Ky5",
              "userID": 3,
              "hidden": false,
              "postDate": "2017-03-01",
              "tag": [
                "elasticsearch"
              ],
              "tag_cnt": 1,
              "view_cnt": 10,
              "title": "this is spark blog",
              "content": "spark is best big data solution based on scala ,an programming language similar to java spark",
              "sub_title": "haha, hello world",
              "author_first_name": "Tonny",
              "author_last_name": "Peter Smith",
              "new_author_last_name": "Peter Smith",
              "new_author_first_name": "Tonny"
            }
          },
          {
            "_index": "forum",
            "_type": "article",
            "_id": "2",
            "_score": 1.083544,
            "_source": {
              "articleID": "KDKE-B-9947-#kL5",
              "userID": 1,
              "hidden": false,
              "postDate": "2017-01-02",
              "tag": [
                "java"
              ],
              "tag_cnt": 1,
              "view_cnt": 50,
              "title": "this is java blog",
              "content": "i think java is the best programming language",
              "sub_title": "learned a lot of course",
              "author_first_name": "Smith",
              "author_last_name": "Williams",
              "new_author_last_name": "Williams",
              "new_author_first_name": "Smith"
            }
          }
        ]
      }
    }
    

    两个结果对比很明显发现方式二比方式一的分数高出了好多。

    2、重构查询结果

    重构查询结果在ES新版本中,影响越来越小。一般情况没什么必要的话就别用了。

    需求:查询出content中包含java spark solution beginner的document

    方式1:

    GET /forum/article/_search
    {
      "query": {
        "bool": {
          "should": [
            {
             "match": {
               "content": "java"
             } 
            },
            {
              "match": {
                "content": "spark"
              }
            },
            {
              "match": {
                "content": "solution"
              }
            },
            {
              "match": {
                "content": "beginner"
              }
            }
          ]
        }
      }
    }
    

    结果:

    {
      "took": 3,
      "timed_out": false,
      "_shards": {
        "total": 5,
        "successful": 5,
        "failed": 0
      },
      "hits": {
        "total": 2,
        "max_score": 1.113083,
        "hits": [
          {
            "_index": "forum",
            "_type": "article",
            "_id": "4",
            "_score": 1.113083,
            "_source": {
              "articleID": "QQPX-R-3956-#aD8",
              "userID": 2,
              "hidden": true,
              "postDate": "2017-01-02",
              "tag": [
                "java",
                "elasticsearch"
              ],
              "tag_cnt": 2,
              "view_cnt": 80,
              "title": "this is java, elasticsearch, hadoop blog",
              "content": "elasticsearch and hadoop are all very good solution, i am a beginner",
              "sub_title": "both of them are good",
              "author_first_name": "Robbin",
              "author_last_name": "Li",
              "new_author_last_name": "Li",
              "new_author_first_name": "Robbin"
            }
          },
          {
            "_index": "forum",
            "_type": "article",
            "_id": "5",
            "_score": 0.970927,
            "_source": {
              "articleID": "DHJK-B-1395-#Ky5",
              "userID": 3,
              "hidden": false,
              "postDate": "2017-03-01",
              "tag": [
                "elasticsearch"
              ],
              "tag_cnt": 1,
              "view_cnt": 10,
              "title": "this is spark blog",
              "content": "spark is best big data solution based on scala ,an programming language similar to java spark",
              "sub_title": "haha, hello world",
              "author_first_name": "Tonny",
              "author_last_name": "Peter Smith",
              "new_author_last_name": "Peter Smith",
              "new_author_first_name": "Tonny"
            }
          }
        ]
      }
    }
    

    方式2:

    GET /forum/article/_search
    {
      "query": {
        "bool": {
          "should": [
            {
             "match": {
               "content": "java"
             } 
            },
            {
              "match": {
                "content": "spark"
              }
            },
            {
              "bool": {
                "should": [
                  {
                    "match": {
                      "content": "solution"
                    }
                  },
                  {
                    "match": {
                      "content": "beginner"
                    }
                  }
                ]
              }
            }
          ]
        }
      }
    }
    

    结果:

    {
      "took": 3,
      "timed_out": false,
      "_shards": {
        "total": 5,
        "successful": 5,
        "failed": 0
      },
      "hits": {
        "total": 2,
        "max_score": 1.113083,
        "hits": [
          {
            "_index": "forum",
            "_type": "article",
            "_id": "4",
            "_score": 1.113083,
            "_source": {
              "articleID": "QQPX-R-3956-#aD8",
              "userID": 2,
              "hidden": true,
              "postDate": "2017-01-02",
              "tag": [
                "java",
                "elasticsearch"
              ],
              "tag_cnt": 2,
              "view_cnt": 80,
              "title": "this is java, elasticsearch, hadoop blog",
              "content": "elasticsearch and hadoop are all very good solution, i am a beginner",
              "sub_title": "both of them are good",
              "author_first_name": "Robbin",
              "author_last_name": "Li",
              "new_author_last_name": "Li",
              "new_author_first_name": "Robbin"
            }
          },
          {
            "_index": "forum",
            "_type": "article",
            "_id": "5",
            "_score": 0.970927,
            "_source": {
              "articleID": "DHJK-B-1395-#Ky5",
              "userID": 3,
              "hidden": false,
              "postDate": "2017-03-01",
              "tag": [
                "elasticsearch"
              ],
              "tag_cnt": 1,
              "view_cnt": 10,
              "title": "this is spark blog",
              "content": "spark is best big data solution based on scala ,an programming language similar to java spark",
              "sub_title": "haha, hello world",
              "author_first_name": "Tonny",
              "author_last_name": "Peter Smith",
              "new_author_last_name": "Peter Smith",
              "new_author_first_name": "Tonny"
            }
          }
        ]
      }
    }
    

    对比方式1和方式2的结果发现,相关度分数一模一样,几乎无差别。

    3、negative boost

    需求:搜索包含java,不包含spark的doc,但是这样很死板

    GET /forum/article/_search
    {
      "query": {
        "bool": {
          "must": [
            {
              "match": {
                "content": "java"
              }
            }
          ],
          "must_not": [
            {
              "match": {
                "content": "spark"
              }
            }
          ]
        }
      }
    }
    

    结果

    {
      "took": 58,
      "timed_out": false,
      "_shards": {
        "total": 5,
        "successful": 5,
        "failed": 0
      },
      "hits": {
        "total": 1,
        "max_score": 0.68640786,
        "hits": [
          {
            "_index": "forum",
            "_type": "article",
            "_id": "2",
            "_score": 0.68640786,
            "_source": {
              "articleID": "KDKE-B-9947-#kL5",
              "userID": 1,
              "hidden": false,
              "postDate": "2017-01-02",
              "tag": [
                "java"
              ],
              "tag_cnt": 1,
              "view_cnt": 50,
              "title": "this is java blog",
              "content": "i think java is the best programming language",
              "sub_title": "learned a lot of course",
              "author_first_name": "Smith",
              "author_last_name": "Williams",
              "new_author_last_name": "Williams",
              "new_author_first_name": "Smith"
            }
          }
        ]
      }
    }
    

    只包含了java并且不包含spark的返回了。

    需求:搜索包含java,尽量不包含spark的doc,如果包含了spark,不会说排除掉这个doc,而是说将这个doc的分数降低。
    包含了nagative term的doc,分数乘以negative boost分数降低。

    GET /forum/article/_search
    {
      "query": {
        "boosting": {
          "positive": {
            "match": {
              "content": "java"
            }
          },
          "negative": {
            "match": {
              "content": "spark"
            }
          },
          "negative_boost": 0.2
        }
      }
    }
    

    结果

    {
      "took": 10,
      "timed_out": false,
      "_shards": {
        "total": 5,
        "successful": 5,
        "failed": 0
      },
      "hits": {
        "total": 2,
        "max_score": 0.68640786,
        "hits": [
          {
            "_index": "forum",
            "_type": "article",
            "_id": "2",
            "_score": 0.68640786,
            "_source": {
              "articleID": "KDKE-B-9947-#kL5",
              "userID": 1,
              "hidden": false,
              "postDate": "2017-01-02",
              "tag": [
                "java"
              ],
              "tag_cnt": 1,
              "view_cnt": 50,
              "title": "this is java blog",
              "content": "i think java is the best programming language",
              "sub_title": "learned a lot of course",
              "author_first_name": "Smith",
              "author_last_name": "Williams",
              "new_author_last_name": "Williams",
              "new_author_first_name": "Smith"
            }
          },
          {
            "_index": "forum",
            "_type": "article",
            "_id": "5",
            "_score": 0.05753642,
            "_source": {
              "articleID": "DHJK-B-1395-#Ky5",
              "userID": 3,
              "hidden": false,
              "postDate": "2017-03-01",
              "tag": [
                "elasticsearch"
              ],
              "tag_cnt": 1,
              "view_cnt": 10,
              "title": "this is spark blog",
              "content": "spark is best big data solution based on scala ,an programming language similar to java spark",
              "sub_title": "haha, hello world",
              "author_first_name": "Tonny",
              "author_last_name": "Peter Smith",
              "new_author_last_name": "Peter Smith",
              "new_author_first_name": "Tonny"
            }
          }
        ]
      }
    }
    

    返回了两条,并且包含spark的那条数据score是0.0X,是因为会将得出的结果乘以0.2,降低了他的相关度分数,但是也会被检索出来

    4、constant_score
    如果你压根儿不需要相关度评分,直接走constant_score,所有doc分数都是1,没有评分的概念。

    GET /forum/article/_search
    {
      "query": {
        "bool": {
          "should": [
            {
              "constant_score": {
                "query": {
                  "match": {
                    "title": "java"
                  }
                }
              }
            },
            {
              "constant_score": {
                "query": {
                  "match": {
                    "title": "spark"
                  }
                }
              }
            }
          ]
        }
      }
    }
    
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  • 原文地址:https://www.cnblogs.com/jpfss/p/10794428.html
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