Question

我在Azure搜索中有三组相同（在文本中）项目，具体取决于价格和点数。价格较高的便宜产品价格上涨。（价格比点数增加得更多，反之亦然）。

但是，我一直看到类似的搜索结果。

搜索'john milton'。

我得到了

Product="Id = 2-462109171829-1, Price=116.57, Points=  7, Name=Life of Schamyl / John Milton Mackie, Description=.", Score=32.499783
Product="Id = 2-462109171829-2, Price=116.40, Points=  9, Name=Life of Schamyl / John Milton Mackie, Description=.", Score=32.454872
Product="Id = 2-462109171829-3, Price=115.64, Points=  9, Name=Life of Schamyl / John Milton Mackie, Description=.", Score=32.316270

我希望评分顺序是这样的，首先是最低的价格。

Product="Id = 2-462109171829-3, Price=115.64, Points=  9, Name=Life of Schamyl / John Milton Mackie, Description=.", Score=
Product="Id = 2-462109171829-2, Price=116.40, Points=  9, Name=Life of Schamyl / John Milton Mackie, Description=.", Score=
Product="Id = 2-462109171829-1, Price=116.57, Points=  7, Name=Life of Schamyl / John Milton Mackie, Description=.", Score=

我缺少什么或者可以接受的小分数变化？

索引定义为

let ProductDataIndex = 

        let fields = 
                    [|
                        new Field (
                            "id", 
                            DataType.String,
                            IsKey           = true, 
                            IsSearchable    = true);


                        new Field (
                            "culture", 
                            DataType.String,
                            IsSearchable    = true);

                        new Field (
                            "gran", 
                            DataType.String,
                            IsSearchable    = true);

                        new Field (
                            "name", 
                            DataType.String,
                            IsSearchable    = true);

                        new Field (
                            "description", 
                            DataType.String, 
                            IsSearchable    = true);

                        new Field (
                            "price", 
                            DataType.Double, 
                            IsSortable      = true,
                            IsFilterable    = true)

                        new Field (
                            "points", 
                            DataType.Int32, 
                            IsSortable      = true,
                            IsFilterable    = true)
                    |]

        let weightsText = 
            new TextWeights(
                Weights =   ([|  
                                ("name",        4.); 
                                ("description", 2.) 
                            |]
                            |> dict))

        let priceBoost = 
            new MagnitudeScoringFunction(
                new MagnitudeScoringParameters(
                    BoostingRangeStart  = 1000.0,
                    BoostingRangeEnd    = 0.0,
                    ShouldBoostBeyondRangeByConstant = true),
                "price",
                10.0)

        let pointsBoost = 
            new MagnitudeScoringFunction(
                new MagnitudeScoringParameters(
                    BoostingRangeStart  = 0.0,
                    BoostingRangeEnd   = 10000000.0,
                    ShouldBoostBeyondRangeByConstant = true),
                "points",
                2.0)

        let scoringProfileMain = 
            new ScoringProfile (
                            "main", 
                            TextWeights =
                                weightsText,
                            Functions = 
                                new List<ScoringFunction>(
                                        [
                                            priceBoost      :> ScoringFunction
                                            pointsBoost     :> ScoringFunction
                                        ]),
                            FunctionAggregation = 
                                ScoringFunctionAggregation.Sum)

        new Index 
            (Name               =   ProductIndexName
            ,Fields             =   fields 
            ,ScoringProfiles    =   new List<ScoringProfile>(
                                        [
                                            scoringProfileMain
                                        ]))

Answer 1

All indexes in Azure Search are split into multiple shards allowing us for quick scale up and scale downs. When a search request is issued, it’s issued against each of the shards independently. The result sets from each of the shards are then merged and ordered by score (if no other ordering is defined). It is important to know that the scoring function weights query term frequency in each document against its frequency in all documents, in the shard!

It means that in your scenario, in which you have three instances of every document, even with scoring profiles disabled, if one of those documents lands on a different shard than the other two, its score will be slightly different. The more data in your index, the smaller the differences will be (more even term distribution). It’s not possible to assume on which shard any given document will be placed.

In general, document score is not the best attribute for ordering documents. It should only give you general sense of document relevance against other documents in the results set. In your scenario, it would be possible to order the results by price and/or points if you marked price and/or points fields as sortable. You can find more information how to use $orderby query parameter here: https://msdn.microsoft.com/en-us/library/azure/dn798927.aspx

标题的整个句子

Azure搜索评分

1 个答案: