Collaborative Filtering Algorithm的意思|示意

Our algorithm, item-to-item collaborative filtering, scales to massive data sets and produces high-quality recommendations in real time.

我们的算法，也就是商品到商品的协同过滤，符合海量的数据集和产品量，并能实时得到高品质的推荐。

The main characteristics: the recommendation algorithm-based content filtering and collaborative filtering algorithm combined with the recommendation;

本文的主要特色：把基于内容过滤的推荐算法和协同过滤的推荐算法相结合；

Collaborative filtering recommendation algorithm is one of the most successful technologies in thee-commerce recommendation system.

协同过滤推荐算法是在电子商务推荐系统中最成功的技术之一。

Collaborative filtering algorithm based on model users greatly improves the efficiency of online recommendation, makes model users relatively stable and also improves the accuracy of recommendation.

对在此基础上生成的模范用户模型应用协同过滤推荐算法，目标用户在线推荐的效率有很大的提高，模范用户模型相对稳定，推荐精度也有所改善。

To efficiently resolve the problem that the new item is difficult to recommend in collaborative filtering algorithm. In this paper we propose a new method based item matrix partition.

为了有效地解决协同过滤算法中新项目难以推荐的问题，文中提出了一种对项目矩阵进行划分的方法。

Realize the system based clustering algorithm part of the recommendation on collaborative filtering and evaluate it, at last gives out the result of test with real data and try to explain it.

最后利用实际网站数据对基于聚类的协同过滤推荐系统的聚类算法进行了实现，给出了系统试验结果，并对结果做出解释和评价。