collaborative filtering recommendation algorithm的意思|示意

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协同过滤推荐算法


collaborative filtering recommendation algorithm的网络常见释义

协同过滤推荐算法 1 相关工作 目前,研究人员提出了各种方案的协同过滤推荐算法 (collaborative filtering recommendation algorithm):基于用户 (userbased)的协同过滤算法 [1] ,利用不同用户在相同项目上的 评分相似性来推荐k 个最邻居的资源。

collaborative filtering recommendation algorithm相关例句

Realize the clustering algorithm part of the recommendation system based on collaborative filtering and evaluate it.

对基于聚类的协同过滤推荐系统的聚类算法进行了实现和评价。

Unfortunately, traditional collaborative filtering algorithm does not consider the problem of item's multiple contents and often leads to bad recommendation when item has multiple contents.

但由于传统的协同过滤算法没有考虑项目多内容问题,存在项目多内容情况时推荐质量较差。

A collaborative filtering recommendation algorithm based on the item features model is proposed in this paper.

提出一种基于项目特征模型的协同过滤推荐算法。

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 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。

Collaborative filtering, which is widely used recommendation algorithm, usually provides predicted ratings as recommendation.

协作过滤是应用最为广泛的推荐技术,通常提供预测评分作为推荐。