以此进行个性化推荐也更加有效。
Therefore the commendation for personalization is more efficient by the methods.
为进一步研究个性化推荐技术奠定基础。
It is laid the foundation to further study the personalized recommendation technology.
个性化推荐系统在这样的背景下应运而生。
Personalized Recommender Systems emerge under the background of this, which becomes the research focus in the domestic and overseas.
本研究以个性化推荐理论作为基本的理论基础。
In this research, the theory of personalized recommendation is theoretical basis.
协同推荐技术是实现个性化推荐系统的一种有效方法。
So this paper presents the recommendation system into the E-learning platform, in order to accomplish the purpose of personalized service.
信息过载问题的出现，为个性化推荐系统提供了新的挑战。
A new challenge to personalized recommendation is provided when problem of system information overload appears.
因此，个性化推荐技术在移动搜索领域的应用则更加重要。
Therefore, the personalized recommendation technology in the field of mobile search application is even more important.
实验表明该方法能为用户提供更为精确有效的个性化推荐。
Experiments indicate that this method can provide personal recommendations more accurately and efficiently.
所以，这也是一个个性化推荐，因为它是基于我过去的行为的。
So this recommendation is also a Personalized recommendation, since it is based on my past behavior.
个性化推荐是一个有效的减轻用户的负担，对信息检索的方法。
Personalization recommendation is a valid method for lightening the user's burden on information retrieval.
因此，个性化推荐技术的研究，具有较高的学术价值和应用前景。
Therefore the research of the personalized recommendation model has higher academic value and application prospect.
针对不同的客户提供不同的商品，从而改善了个性化推荐的效果。
The system provides distinct goods for another, thus improves the effectiveness of personalization re...
同时，它也是一项个性化推荐，因为推荐基于我最近点击的一个物品。
Also note that this recommendation is also a Personalized recommendation, since it is based on an item that I clicked recently.
个性化推荐仍然是最可信的方式。40%的受访者认为这种方式非常可信。
Personal recommendations are still the most trusted form of advice, with 40% of respondents citing them as "very reliable".
提出了一种多维关联规则推荐系统，为客户提供更加准确的个性化推荐。
This paper presents a multidimensional association rules recommendation system which provides more exact personalization recommendation for customer.
为了缓解信息过载的压力，提升消费者的满意度，个性化推荐服务应运而生。
In order to alleviate the pressure of information overloading and enhance consumer satisfaction, personalization recommendation service came into being.
首先，详细分析了目前基于聚类挖掘技术的个性化推荐方法的若干不足之处。
Firstly the deficiency of the personalization recommendation based on cluster mining technology was analyzed in detail.
在信息过滤改进模型指导下，本文提出并构建了一个电子商务个性化推荐系统。
A personalized recommending system of electronic commerce has been designed on the improved information filtering model.
在这个页面还有四个其他的模块，每一块都组合运用了上述的几种个性化推荐机制。
There are four more sections offered on the page and each of them leverages different combinations of the personalization mechanisms described above. We summarize them in the table below.
协同过滤是经常被采用的解决信息过载问题的方法，是个性化推荐的主要方法之一。
Collaborative Filtering is frequently used in solving information overload problem, Collaborative Filtering is a main tool used in Personalized Recommendation.
其中，个性化推荐系统中的协同过滤推荐是迄今为止应用最广泛、最成功的推荐技术。
The collaborative filtering for the personalized recommendation is by far the most widely used and the most successful personalized recommender technology.
个性化推荐系统(简称prs)最早应用于电子商务和信息服务领域，现已相对成熟。
Personalized recommendation system (hereinafter referred to as PRS) applied to the fields of e-commerce and information services early, and has been relative mature.
实验结果表明：基于稀疏矩阵划分的个性化推荐算法在算法性能上优于传统协同过滤算法。
Moreover, compared traditional collaborative filtering method, the experimental results show the effectiveness and efficiency of our approach.
实验结果表明，该算法可以有效地提高数字图书馆个性化推荐系统的可扩展性及推荐准确度。
The experimental results demonstrate that the algorithm can effectively improve scalability and accuracy of the digital library of personalized recommendation system.
目前，基于情景模型的数字图书馆个性化服务主要通过个性化检索和个性化推荐两种方式实现。
At present, there are mainly two ways to implement digital library personalized services based on contextual model, that is, through personalized retrieval and personalized recommendation.
本文在分析用户文档和文献个性化推荐特点的基础上，提出了一个基于语义扩展的个性化推荐方法。
Based on the analysis of the user profile and the characteristics of personalized document recommendation, this paper proposes a personalized recommendation method based on semantic expansion.
个性化推荐系统已成为图书馆提供个性化服务的重要手段，而用户模型则是个性化推荐系统的基础和核心。
Personalized recommending system is one of the important means providing individual information in library . User profile is the basis and core of the personalized recommending system.
众多个性化推荐技术中协同过滤可谓一枝独秀，该算法引领了当今各大电子商务平台的推荐系统的发展趋势。
Collaborative filtering is thriving among lots of personalized recommendation technology which leads the recommendation system trends of major e-commerce platforms.
众多个性化推荐技术中协同过滤可谓一枝独秀，该算法引领了当今各大电子商务平台的推荐系统的发展趋势。
Collaborative filtering is thriving among lots of personalized recommendation technology which leads the recommendation system trends of major e-commerce platforms.
应用推荐