英汉例句

• google also wanted to leverage the same collaborative filtering technology to be able to recommend images, videos, and music, for which it「s more difficult to analyze the underlying content.

  google希望能够通过调节这个复合筛选技术来解决内容分析方法难以解决的图片，video，还有音乐方面的推荐。

• the traditional collaborative filtering has shortcoming as follows: accuracy, data sparse and cold-start.

  传统的协同过滤主要存在着：精确性、数据稀疏与冷启动的问题。

• collaborative filtering (wikipedia definition) is a mechanism used to filter large amounts of information by spreading the process of filtering among a large group of people.

  协同过滤（维基百科的定义）是通过将过滤操作在一大群人中扩散，用于过滤大量信息的一种机制。

• traditional collaborative filtering does little or no offline computation, and its online computation scales with the number of customers and catalog items.

  传统的协同过滤只做很少或不做离线计算，其在线计算量取决于顾客和登记在册商品的数量。

• a traditional collaborative filtering algorithm represents a customer as an n-dimensional vector of items, where n is the number of distinct catalog items.

  传统的协同过滤算法把顾客描绘成商品的n维向量，其中n是登记在册的不同商品的数量。

• all this means that there」s a ceiling to how accurate collaborative filtering can get.

  所有这一切意味着「协同筛选」永远不会做到尽善尽美。

• thus, this study focused on the collaborative filtering technology.

  本文主要针对协同过滤推荐技术展开研究。

• collaborative filtering recommendation algorithm can make choices based on the opinions of other people. it is the most successful technology for building recommender systems to date.

  协同过滤是目前最成功的一种推荐算法，它能够基于其他用户的观点帮助人们作出选择。

• the best implementations of a collaborative filtering (cf) system along with a preference based recommendation/discovery system that i have seen are always on music streaming and discovery sites.

  将推荐和发现系统结合协同过滤实施最好的例子，我所看到的都是关于音乐流和音乐发现网站。

• for example many social bookmarking and social news sites use community sentiment and collaborative filtering to help to highlight what is most interesting, useful or important.

  比如许多社会化书签和社会化新闻网站都采用社区意见和协作性过滤来帮助强调突出最有趣、最有用和最重要的内容。

• the collaborative filtering for the personalized recommendation is by far the most widely used and the most successful personalized recommender technology.

  其中，个性化推荐系统中的协同过滤推荐是迄今为止应用最广泛、最成功的推荐技术。

• unlike other algorithms, item-to-item collaborative filtering is able to meet this challenge.

  与其他算法不同，商品到商品的协同过滤能满足这样的挑战。

• result shows that the proved algorithm can be more effective and accurate than traditional collaborative filtering algorithms for new user by contrastive experiment.

  为了提高新用户服务的预测準确率，提出一种融合多系统用户信息的协同过滤算法。

• in order to evaluate our new collaborative filtering algorithm and combined approach, we have developed a prototype system for chinese computer science literature automatic filtering.

  为了对我们提出的改进的协作过滤算法和结合过滤方法进行评价，我们研制了一个中文计算机科技文献自动过滤原型系统。

• regardless of the method, collaborative filtering or inherent properties of things - recommendations are an unforgiving business, where false positives quickly turn users off.

  不管用什么方法，协同过滤或基于item相似的推荐都是不会被原谅的商业工具，假阳性般的错误会很快地让用户流失。

• collaborative filtering is one of the most widely used and successful methods for recommendation, which has been made fast development in theoretical research and applications.

  协同过滤技术是推荐系统中最广泛使用和最成功的技术之一，在理论研究和实践中都取得了快速的发展。

• 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。

• this model of collaborative filtering technology is great help in the mitigation of existing sparse problems and recommendation in time.

  该模型的建立对于缓解协同过滤技术中存在的稀疏性问题、推荐的实时性问题有很大的帮助。

• collaborative filtering is becoming a popular one, but traditional collaborative filtering algorithm has the problem of sparsity, which will influence the efficiency of prediction.

  协作过滤作为其中一种技术也得到迅速发展，但传统的协作过滤算法存在矩阵稀疏性等问题，影响预测效果。