• Recommender System for Nutrient Meals in...

    幼儿营养餐点推荐系统之建?。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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