• Are Recommender Systems Good for Libraries?

    推荐系统适用于图书馆吗?

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  • Recommender System for Nutrient Meals in...

    幼儿营养餐点推荐系统之建?。

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  • Recommender: Interface for providing recommendations.

    Recommender:用于提供推荐的界面。

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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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  • The recommender should fill in the recommendation form attached to this application.

    请推荐亍依本申请书所附推荐信格开填寮。

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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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  • Of course, an uninformed recommender is just a degenerate case and may still be useful.

    当然,一个信息不足的推荐系统只是一个比较不理想的情况但可能仍然是有用的。

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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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  • So, the recommender is better tasked to take advantage of the wisdom of the place-owner "in the moment."

    因此,推荐系统更好的任务是在某一刻充分利用店主的智慧。

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  • The more closely the recommender has worked with the candidate, the more examples he or she can share.

    推荐人和候选人工作的越紧密,它能给出的事实例子就更多。

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  • As such, a recommender must be able to accommodate the active participation of both the place-owner and visitor.

    因此,一个推荐系统必须能够容纳积极参与其中的网站所有者和访客两方。

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  • Recommender systems may be used to analyze the preference of customer, recommend product to targeted customer.

    电子商务网站可以使用推荐系统分析客户的消费偏好,向每个客户具有针对性地推荐商品。

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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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  • Some recommender systems require the user to manually enter a personal profile of interests, preferences, or expertise.

    一些推荐系统需要用户手动输入一个包括个人爱好、兴趣或专长的个人信息文件。

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  • Perhaps the biggest issue facing recommender systems is that they need a lot of data to effectively make recommendations.

    或许推荐系统面临的最大问题,是需要大量的数据,以便能形成有效的推荐。

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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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  • Please see also my earlier post, "Attacking recommender systems", that discusses another paper by some of the same authors.

    可以看看我更早的一篇博文:《攻击推荐系统》,讨论了来自同几个作者的一篇文章。

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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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  • 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 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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  • Personalized Recommender Systems emerge under the background of this, which becomes the research focus in the domestic and overseas.

    个性化推荐系统在这样的背景下应运而生。

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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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  • Notwithstanding this, interaction with a live sales agent may well be an appropriate option for a recommender to trigger in certain situations.

    尽管如此,在某些情况下和现场的销售代理商进行交流,很可能是一个适当的推荐触发方式。

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  • This is best done with the assumption that a recommender is meant to facilitate situated, in-the-moment conversation between the place-owner and visitor.

    这也是对推荐意味着促进处于某个时刻网站和访客之间对话的这种推断的最好实践。

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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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  • 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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