recommender 中文意思是什麼

recommender 解釋
推薦系統
  1. An adaptive algorithm of collaborative filtering recommender based on aggregate - neighborhood

    基於概念分層的個性化推薦演算法
  2. Research of personalized recommender system based on data mining on magnanimity data

    基於海量數據挖掘的個性化推薦系統
  3. A survey of collaborative filtering algorithm applied in e - commerce recommender system

    電子商務推薦系統中的協同過濾推薦
  4. It is not exactly new that customers varying in profitability. however, segmenting customers in terms of their profit contribution remains an underutilized approach in many recommender systems nowadays

    Reicheld和sasser在《哈佛商業周刊》中的一項研究甚至表明：一些公司獲得利潤的100是來自於保持僅僅5的核心客戶。
  5. Model of collaborative filtering in e - commerce recommender system based on interest measure

    基於興趣度的協同過濾商品推薦系統模型
  6. Collaborative filtering is a successful technology that is implemented in e - commerce recommender systems today

    協同過濾是目前在電子商務推薦系統中應用較為成功的個性化推薦技術。
  7. Also in the study of recommender system, we noticed mass marketing has been replaced by data - driven one to one marketing

    此外在對推薦系統的研究中我們注意到，進入網路經濟時代，大眾營銷策略已經沒落。
  8. It gives emphasis to analyzing the problems which collaborative filtering is facing when it is applied in recommender systems and existing improved methods

    著重分析了協同過濾在推薦系統中應用時所面臨的問題，以及現有的解決方法。
  9. Web personalized recommender systems anticipate the needs of web users and provide them with recommendations according to their navigation patterns

    Web個性化推薦系統根據用戶的瀏覽模式預測用戶需求，並向他們提供個性化的推薦服務。
  10. Due to the enormous good of recommender systems, a lot of e - commerce businesses began to utilize this technology to assist their customers buying process

    因此，推薦系統可謂面向電子商務企業與用戶的雙贏策略。推薦系統的研究是以顧客購買行為的分析為基礎的。
  11. The paper introduces e - commerce recommender systems and the typical technologies that are implemented in them, collaborative filtering technology and its two directions of existing algorithms

    論文全面介紹了電子商務推薦系統及其典型的實現技術、協同過濾及已有協同過濾演算法的兩個方向。
  12. In order to make the problems solved and improve the quality and efficient of recommender systems, some researches have been done, and the research results have been successfully applied in practice

    為了迎接這種挑戰，提高推薦系統的推薦質量和實時性，目前國內外進行了較多的研究，其成果也在實際中得到了一定的應用。
  13. On recommender ' s civil liability in the act of infringement of the recommended work

    試論推薦人在推薦作品被認定侵權后的民事責任
  14. An adaptive algorithm of collaborative filtering recommender based on correlation similarity

    改進的基於相關相似性的協同過濾推薦演算法
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