machine information retrieval system 中文意思是什麼

machine information retrieval system 解釋
計算機信息檢索系統
  • machine : n 1 機(器),機械;機關,機構。2 印刷機器;縫紉機;打字機;汽車;自行車;三輪車;飛機;〈美俚〉...
  • information : n. 1. 通知,通報,報告。2. 報導,消息,情報。3. 資料,知識,學識。4. 【自動化】信息,數據。5. 【法律】起訴,告發。adj. -al
  • retrieval : n. (可)取回,(可)恢復,(可)挽回;(可)修補,(可)修正,(可)更正;(可)彌補,(可)補償。 beyond retrieval 不能補救的,不能挽回的。
  • system : n 1 體系,系統;分類法;組織;設備,裝置。2 方式;方法;作業方法。3 制度;主義。4 次序,規律。5 ...
  1. During the procedure of system design and implementation, the author has made some innovative efforts such as : ( d establishing the user interest orientated model, the model receiving user interests continuously and conjecturing user interests by interaction with the user, accumulating user preferences in information demand, thereby achieving self - adaptive retrieval, ? roviding a feedback method which is based on the human - machine interaction, summarizing the user operations on the interface of result presentation, and designing an algorithm for capturing user operation behaviors, by which the changes in user interests and preferences can be learned potentially, ? ffering a method for user interest mining which can extract subjects of information confirmed by user, thereby conjecturing or predicting different kinds of expressions of the same interest or extracting the new interests or unexpressed interests, ? roposing a solution of personalized internet information retrieval based on the user interests in accordance with the above - mentioned work, the solution having very strong feasibility and practicality with taking user interest model as center, employing machine learning ( active learning and passive learning ) and data mining as tools, and being assisted with network robot,

    Piirs系統分析與設計過程中所做的創新性的嘗試主要有以下幾個方面:實現了基於用戶興趣的用戶模型,該模型通過與用戶的交互(主動交互和被動交互) ,不斷地接收用戶的興趣和推測用戶的興趣,積累用戶信息需求的偏好,實現自適應的檢索;提供了一種基於人機交互的反饋方法,對用戶在結果呈現界面上的操作進行了歸納總結,設計了用戶操作捕獲演算法, 「隱性地」學習用戶興趣和偏好的變化;提供了一種用戶需求挖掘的方法,對用戶已確定的信息做進一步的主題挖掘,由此推測或預測用戶同一興趣的不同表述方式或者挖掘出用戶新的或未表達出來的興趣;在上述工作基礎上提出了一套完整的基於用戶興趣的個性化網路信息檢索的解決方案,該方案以用戶興趣模型為中心,以機器學習(主動學習和被動學習)和數據挖掘為手段,輔以網路機器人,具有很強的可行性和實用性。
  2. Based on these, a series of application systems are developed, including the text categorization system, the dialogue based travel information query system, the scientific literature retrieval system, and the machine translation system

    在此基礎上,開發了文本分類、旅遊資源對話查詢、科技文獻檢索、機器翻譯等應用系統。
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