Can you tell us a bit about how this fits into the overall picture of recommendation systems?
您能告诉我这个系统是怎么融合到推荐搜索引擎的机制中去呢？
These components and their implementations make it possible to build out complex recommendation systems for either real-time-based recommendations or offline recommendations.
借助这些组件以及它们的实现，开发人员可以构建复杂的推荐系统，提供基于实时或者离线的推荐。
User similarity computing plays a very important role in collaborative filtering systems, user recommendation systems as well as social network services.
用户相似度计算在协同过滤系统、用户推荐系统以及社交网络中有着非常重要的作用。
His research interests include data mining, machine learning, and recommendation systems.
他的研究兴趣包括数据挖掘、机器学习以及推荐系统。
The development of books recommendation systems will ensure maximally the quality of collections.
图书荐购系统的开发将最大限度地保证馆藏质量。
I'm going to look at how displaying others' choices can affect people's own choices in recommendation systems.
我正在进行的课题是，在一个推荐系统中，如何通过展示一些人的选择来影响另一些人的选择。
His research interests include recommendation systems, personalization, data mining, and artificial intelligence.
他的研究兴趣包括推荐系统、个性化、数据挖掘以及人工智能。
The proposed idea and technique can also be used for other personalized information recommendation systems on the Internet.
所述的设计思想和技术也适用于其它互联网个性化信息自动推荐系统。
Thus service recommendation systems which could help users more quickly find the information they need receive extensive attention.
因而，能帮助用户更为快捷地找到所需信息的服务推荐系统得到了广泛关注。
His interests include statistical models for categorical data, recommendation systems, and optimal choice of Web site display components.
他的兴趣包括分类数据的统计模型、推荐系统，以及网站展示内容的最佳选择。
Etsy has used this information to create product recommendation systems that let people rank their interest in a series of products and then end up with a list of 100 or 200 they might like.
Etsy已经使用这些信息来建立商品推荐系统，让人们对一系列商品的感兴趣程度进行打分，最终得到他们可能喜欢的100种或200种商品的清单。
Etsy has used this information to create product recommendation systems that let people rank their interest in a series of products and then end up with a list of 100 or 200 they might like.
Etsy已经使用这些信息来建立商品推荐系统，让人们对一系列商品的感兴趣程度进行打分，最终得到他们可能喜欢的100种或200种商品的清单。
应用推荐