To demonstrate building a simple recommendation system, I need some users, items, and ratings.
为了演示如何构建一个简单的推荐系统，我需要一些用户、项目和评分。
Amazon also offers an excellent recommendation system, and I can envision some users opting for the Kindle application on their fancy new iPads.
亚马逊还提供了一个非常漂亮的推荐系统，我相信一些用户还是会在他们的新iPad上安装Kindle应用。
I can say to a human store clerk, "I'm looking for a pair of Nike's under $50" -- why can't I tell the average recommendation system the same thing?
我可以对一位商店售货员说， “我正在找一双价格在50美元的耐克鞋子”——为什么我不能把这样的事情告诉普通推荐系统呢？
The idea behind it is that we like music because of its attributes - and so why not design a music recommendation system that leverages the similarities between pieces of music.
其背后的想法是，我们喜欢一段音乐是因为它的属性——为什么不利用音乐片段之间的相似性做一个音乐推荐系统呢？
The field of high-level recommendation system papers.
推荐系统领域的高级别论文。
Judging by Amazon's success, the recommendation system works.
亚马逊如今大获成功，推荐系统想必功不可没。
The sparse user-item matrix often hurts the performance of recommendation system.
用户评分矩阵稀疏问题影响协同过滤的推荐性能。
Personalized Garment Pattern system is a clothing recommendation system based on interactive and user preferences.
个性化服装款式系统是基于交互和用户偏好的服装推荐系统。
Realize the clustering algorithm part of the recommendation system based on collaborative filtering and evaluate it.
对基于聚类的协同过滤推荐系统的聚类算法进行了实现和评价。
The improved methods can effectively alleviate the problem of sparsity and improve the quality of recommendation system.
本文提出的算法能够有效缓解数据稀疏性问题，提高推荐系统的推荐质量。
The time complexity of online recommendation was the key indicator to measure recommend algorithm in real recommendation system.
在实际的推荐系统中，在线推荐的时间复杂度是衡量推荐算法的主要指标。
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。
Collaborative filtering recommendation algorithm is one of the most successful technologies in thee-commerce recommendation system.
协同过滤推荐算法是在电子商务推荐系统中最成功的技术之一。
Finally, a document recommendation system using the method of hybrid recommendation is shown, with its structure and function introduced in detail.
最后，设计并实现了引入组合推荐方法的文档推荐系统，并对文档推荐系统的结构和功能实现进行了详细介绍。
This paper presents a multidimensional association rules recommendation system which provides more exact personalization recommendation for customer.
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。
The efficiency of recommendation system which is based on user interest model is particularly important for the goal of better quality of the recommendation.
为了对用户提供更优质的推荐，基于用户兴趣模型的推荐系统的效率显得尤为重要。
Experimental results indicate the algorithm we proposed performs better in detecting weibo user interest and enhances the quality of the recommendation system.
实验结果表明，本文提出的算法能很好的发现微博用户的兴趣，提高推荐系统的质量。
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。
The experimental results demonstrate that the algorithm can effectively improve scalability and accuracy of the digital library of personalized recommendation system.
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。
Lets take a look at various pieces of Amazon's recommendation system to get an insight on how they work. Here are the sections that are shown in the main area of my Amazon account when I login.
让我们看看亚马逊推荐系统的各个模块，来了解他们到底是怎么工作的。
After analyzing the disadvantages of the user profile based on-keywords vector in the existing document recommendation system, a novel representation of user profile based on clustering was proposed.
分析了现有文章推荐系统中基于关键词向量的用户模型表示方法存在的不足，提出了基于聚类兴趣点的用户模型表示方法。
How to improve the quality of E-commerce Recommendation System, has become a hot research by experts and scholars.
如何提高电子商务推荐系统的推荐质量，目前已成为专家学者们研究的热点。
Recommendation system based on implicit rating was proposed to improve the precision and solve the problems of "scarcity" and "cold-start".
为解决协同过滤推荐中“稀疏”和“冷开始”问题，提高推荐精度，提出了基于隐式评分的推荐系统。
Recommendation system based on implicit rating was proposed to improve the precision and solve the problems of "scarcity" and "cold-start".
为解决协同过滤推荐中“稀疏”和“冷开始”问题，提高推荐精度，提出了基于隐式评分的推荐系统。
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