1.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。
2.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。
3.However, far from perfect point, the research on personalized recommender technology and systems also remains in the initial stage.
然而就目前而言，个性化推荐技术和系统的研究还停留在初步阶段，远没有达到完善的地步，仍然存在很多问题亟待解决。
4.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。
5.The first one illustrates the necessity of the scientific literature personalized recommender system and applications on recommender system.
第一部分分析科技文献个性化推荐系统的必要性以及推荐系统的应用现况；
6.The experiment result justifies that the education resource recommender system and the improvement by clustering is feasible.
实验结果证明了本文提出的系统设计方案和聚类对传统的个性化信息服务技术改进的可行性。
7.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。
8.Letter of recommendation must be sealed with recommender's signature on envelope.
推荐人的信必须密封，而且信封上必须有推荐者的签名。
9.Implementing a Recommender System utilizing association rules and making tests to analyzing the precision.
用关联规则挖掘实现了一个推荐系统，并且进行了实验，分析了推荐结果的精度。
10.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。