COLLABORATIVE FILTERING - 翻译成中文

• 协同过滤

在 英语 中使用 Collaborative filtering 的示例及其翻译为 中文

Mahout includes clustering, classification, and batch-based collaborative filtering, all of which run on top of MapReduce.
Mahout包括集群，分类和基于批处理的协作过滤，所有这些都在MapReduce之上运行。

Collaborative filtering in dating means that the earliest and most numerous users of the app have outsize influence on the profiles later users see.
Uedbet游戏约会中的协作过滤意味着APP中最早和最多的用户会对将来新用户看到的档案信息产生巨大影响。

This can be used to predict the latent representations of songs that were obtained from a collaborative filtering model.
这可以用来预测从协作过滤模型中获得的歌曲的潜在表现形式。

Most recommender systems use Collaborative Filtering or Content-based methods to predict new items of interest for a user.
大多数推荐系统使用协作过滤或基于内容的方法来预测用户感兴趣的新项目。

User-user collaborative filtering has used Pearson correlation to compare users.
所以说基于用户的协同过滤还是用pearson来做用户相似是比较好的阿。

Collaborative filtering does a pretty good job, but Spotify knew they could do even better by adding another engine.
协作过滤的表现效果其实已经很不错了，但是Spotify知道，通过添加另一个引擎，他们可以做得更好。

We will also see how to build a recommendation system using collaborative filtering and apply it to a movie recommendations data set.
我们还将看到如何使用协作过滤构建推荐系统，并将其应用于电影推荐数据集。

Collaborative filtering showed excellent results, began to dominate the Internet industry.
协同过滤表现出了出色的效果，开始在互联网行业称王称霸。

It features a large database of algorithms focusing on classification, regression, clustering and collaborative filtering.
它的特点是拥有一个大型的算法数据库，主要集中在分类、回归、集群和协作过滤。

It uses a content-based predictor to enhance existing user data, and then provides personalized suggestions through collaborative filtering.
作者使用了基于内容的预测器来增强现有用户的数据，然后通过协作过滤提供个性化建议。

In the e-commerce industry, real-time transaction information could be passed to a streaming clustering algorithm like k-means or collaborative filtering like ALS.
在电子商务领域，实时交易的信息可以被传到像K均值这样的流聚集算法或者像ALS这样的协同过滤的算法上。

Its pioneering initiatives include its Affiliate Program, its recommendation engine(collaborative filtering) and the Mechanical Turk project.
它的开创性计划包括AffiliateProgram（附属计划）、推荐引擎（利用协作过滤的方法）和土耳其机器人计划。

Neil Perkin points out that Amazon uses a process called“item to item collaborative filtering.”.
行业专家NeilPerkin指出，亚马逊使用一种称为“逐项协作过滤”的过程。

LCA may be used in many fields, such as: collaborative filtering,[3] Behavior Genetics[4] and Evaluation of diagnostic tests.
LCA可以用在很多领域，如：协同过滤，[1]的行为，遗传学[2]和评估的诊断测试.[3].

Many recommendation systems are based on collaborative filtering: leveraging user correlations to make recommendations(“users that liked the items you have liked have also liked…”).
许多推荐系统是基于协同过滤的：利用用户关联来提出建议（“喜欢这个物品的用户可能还喜欢···”）。

However, it is worth noting that recommenders purely based on content generally don't perform as well as ones based on usage data(e.g. collaborative filtering).
然而，值得注意的是：纯粹基于内容的推荐系统通常在执行时效果不如那些基于使用数据的系统（比如协同过滤算法）。

Jester- Ideal for building a simple collaborative filter.
Jester-构建简单的协同过滤器的理想选择。

A collaborative filter might also, hypothetically, cluster reading patterns in narrow viewpoints.
协同过滤可能也会在假设情况下以一种狭隘的视角聚集一些阅读模式。

Collaborative filters, for instance, are a market-based way to do product promotion.
协同过滤器就是一种以市场为基础的产品推广方式。

User based collaborative filtering.
基于用户的协作型过滤.