片语

personalized information recommendation个性化信息推荐

information recommendation system信息推荐系统

personalized information recommendation service个性化信息推荐服务

web personalized information recommendation网站个性化信息推荐

collaborative information recommendation合作信息推荐

redundancy information recommendation冗余信息推荐

intelligent information recommendation智能信息推荐

information recommendation service信息推荐服务

英汉例句

• besides, information recommendation services can reduce blind searches and raise the file-sharing level.

  同时，有针对性的推荐服务能够减少盲目搜索，提高文件共享水平。

• how to accurately and effectively provide the information which the user needs, is the core of the information recommendation research.

  如何準确高效地提供给用户需要的信息，是信息推荐研究的核心。

• this paper describes the realization process of the personalized information recommendation in theory.

  本文从实现的原理上对该个性化信息推荐方式进行了理论探讨。

• aimed at the shortcomings of current intelligent information recommendation algorithm, an intelligent information recommendation algorithm based on user model clustering(irumc) is presented.

  针对现有基于内容的信息推荐技术的不足，提出了一种基于元数据的改进方法，并从情景分析出发，给出了一个扩展元数据的概念模型。

• finally, studies on personalized information recommendation based on social tagging are analyzed, and find matrix, clustering and network analysis are three primarily methods.

  最后，分析了社会化标注中个性化信息推荐的研究，发现借助矩阵、聚类和网络的分析是三种主要思路。

• the proposed idea and technique can also be used for other personalized information recommendation systems on the internet.

  所述的设计思想和技术也适用于其它互联网个性化信息自动推荐系统。

• for example in the personalized information recommendation technology based on rules, along with regular quantity increasing, the management for the rule will be more and more difficult.

  如在基于规则的个性化信息推荐技术中，随着规则数量的增多，对于规则的管理会变得越来越困难；

• based on the introduction of the meaning and structure of social tagging, this paper mainly discusses the advancements of personalized information recommendation based on social tagging.

  本文在对社会化标注的内涵和结构加以简单介绍的基础上，重点探讨了基于社会化标注进行推荐的相关进展。

• on the ground of above work, we designed and implemented a personalized information recommendation system of interest-based model.

  在上述工作的基础上，设计并实现了基于兴趣模型的个性化信息推荐系统。

• we improve current term-based information recommendation algorithm.

  对现有基于特征项的推荐算法进行了改进。

• individuation information recommendation service systems apply knowledge discovery techniques to the problem of making personalized recommendations for information.

  个性化推荐系统采用知识发现技术给用户提供準确、合理的信息从而赢得客户。

• in this dissertation, we bring forward a new model for information recommendation in web, user-oriented information recommendation model.

  但是，这种方式很难执行好用户个性化的检索需求，因此提出了面向用户的个性化推荐模型。