Recommender System for Nutrient Meals in...
幼儿营养餐点推荐系统之建？。
Meanwhile, a recommender system is built on the theory we just discuss.
同时，基于提出的理论，结合实际，构建出电子商务推荐系统。
Recommender system is the application of information filtering technology.
推荐系统是信息过滤技术的应用。
Workshop on Recommender System, part of ICCSE10, is calling for papers now.
推荐系统研讨会正在征文，召集合作伙伴中。
Recommender System; Collaborative Filtering; User Trust; Malicious Attack; Similarity.
推荐系统；协同过滤；用户信任；恶意攻击；相似性。
Online experiments providing the strongest evidence that the recommender system has a value.
在线实验可以为推荐系统的评估提供最有力的证据。
It measures the percentage of items for which the recommender system can produce recommendations.
它测量了推荐系统产生推荐项目的占比。
The system can adapt the changes of user interests quickly, and is more exact than the existing recommender systems.
最后给出实验表明该系统能够准确表达用户兴趣，特别时在用户兴趣发生变化时比以往系统具有更高的准确性。
The more item and user data a recommender system has to work with, the stronger the chances of getting good recommendations.
分析越多的类目(种类)和用户数据，系统越有可能生产好的推荐。
Recommender System makes recommendations to user by predicting interest of the user, it helps user to filter information.
推荐系统通过预测用户的喜好对用户做出推荐，为用户进行信息过滤。
In E-commerce recommender system, collaborative filtering technology is the most popular and successful method at present.
电子商务推荐系统中协同过滤已成为目前应用最广泛、最成功的推荐方法。
Recommender systems might be evaluated against various aspects of a recommender system, namely, functional and non-functional.
推荐系统的评估可以考虑各种不同的方面，亦即，功能性的和非功能性的。
Absrtact: In E- commerce recommender system, collaborative filtering technology is the most popular and successful method at present.
摘 要：电子商务推荐系统中协同过滤已成为目前应用最广泛、最成功的推荐方法。
In those presentations, there were some hints at the problems that these companies have to overcome to build an effective recommender system.
在活动介绍的内容中，提出了一些公司对于建造有效的推荐系统必须解决的几个问题。
E-commerce Recommender System is a very important technology of E-commerce that imitate sellers recommend products that customer preferences.
电子商务推荐技术作为电子商务中的重要技术，模仿销售员向客户推荐客户偏好度较高的产品。
The following works have been mostly completed:1 The paper analyses and compares kinds of personalized information services recommender system.
完成以下工作：1分析比较各种个性化信息推荐系统，尝试的构建一个性化信息推荐系统。
Catalog coverage measures the percentage of items for which the recommender system has ever made recommendations from the total available number of items.
目录覆盖率测量的是推荐系统做出的推荐项目占全部可用项目个数的比值。
We propose a modeling method of artificial psychology which based on Quantification Theory I and introduce how to apply it in recommender system in this paper.
本文提出了基于数量化i类理论的人工心理模型的建模方法，并介绍了该模型在个性化商品推荐系统中的应用。
Online recommender system is an important aspect of ec system. The article provides a recommender method based-on customers "behavior about clicking and staying."
在线推荐系统提供购物导航服务，是提高电子商务系统性能的重要方面。
It includes such accuracy metrics as predictive accuracy metrics measuring how accurate the recommender system predicts ratings or recommends top-N lists of items.
其准确性测量包括对推荐系统预测评分或者top - N项目推荐列表的准确性度量。
The goal of this approach is to filter out algorithms which have poor performance before the recommender system will be evaluated with a user study or online type evaluations.
此方法的目的在于对推荐系统执行用户调研或者在线评估之前过滤掉性能较差的算法。
With the gradually increased of book order catalog's usage, library technician should have deeper understanding to the basic model and framework of recommender and purchase system.
指出了在图书馆中图书征订目录的使用率逐渐增加，图书馆技术人员对荐购系统的基本模式和框架需要有深入的了解。
With the gradually increased of book order catalog's usage, library technician should have deeper understanding to the basic model and framework of recommender and purchase system.
指出了在图书馆中图书征订目录的使用率逐渐增加，图书馆技术人员对荐购系统的基本模式和框架需要有深入的了解。
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