similarity score 中文意思是什麼

similarity score 解釋
相似性值
  • similarity : n. 1. 類似，相像，相似。2. 類似點；類似物，相似物。
  • score : n 1 ?痕，截痕，刻痕，劃線；痕，抓痕；鞭痕；裂縫；記號。2 對號籌片。3 計算；百分數，成份；【運】比...
  1. Have a high similarity score but a low confidence score because it is unclear which of the results is the best match

    都具有很高的相似性得分，然而置信度得分卻都較低，這是因為無法肯定哪個結果是最佳匹配項。
  2. The transformation output includes all input columns, one or more columns with standardized data, and a column that contains the similarity score

    該轉換輸出包括所有輸入列、一個或多個具有標準化數據的列以及一個包含相似性得分的列。
  3. Each match includes a similarity score and a confidence score

    每個匹配項都包括一個相似性得分和一個置信度得分。
  4. Rows with a similarity score. 70 are written to the

    相似性得分> = . 70的行寫入
  5. Column that contains a similarity score to each row

    該轉換將向每行添加包含相似性得分的
  6. Returns a low similarity score regardless of other matches

    會返回一個較低的相似性得分，而無論其他匹配項是什麼。
  7. The method for approximate matching of data is based on a user - specified similarity score

    近似匹配數據的方法基於用戶指定的相似性得分。
  8. The output also provides a similarity score for each column that participates in a fuzzy grouping

    輸出還提供了參與模糊分組的每列的相似性得分。
  9. At run time, the score columns in transformation output contain the similarity scores for each row in a group

    在運行時，轉換輸出中的得分列包含組中每行的相似性得分。
  10. The similarity score is a mathematical measure of the textural similarity between the input record and the record that fuzzy lookup transformation returns from the reference table

    相似性得分是一個數學度量值，表示輸入記錄與模糊查找轉換從引用表中返回的記錄之間在結構上的相似程度。
  11. In this approach, the candidate networks from trained keyword queries or executed user queries are classified and stored in the databases, and top - k results from the cns are learned for constructing cn language models cnlms. the cnlms are used to compute the similarity scores between a new user query and the cns from the query. the cns with relatively large similarity score, which are the most promising ones to produce top - k results, will be selected and performed

    基於模式圖的在線系統執行機制是，用戶提交關鍵詞查詢后，系統利用數據庫全文檢索引擎為每個具有文本屬性的關系生成包含關鍵詞的元組集，這些元組集與數據庫模式圖相結合，形成元組集圖，然後對元組集圖做寬度優先搜索，生成候選網路candidate network 。
分享友人
分享到 Line

分享到臉書