The other is collaborative filtering technology which can accomplish individual services for the websites.
另一类使用合作过滤技术实现网站个性化服务。
Collaborative filtering technology reveals a number of bottlenecks to be addressed in the face of current challenges.
协同过滤技术在面对当前的挑战时暴露出许多有待解决的瓶颈问题。
In E-commerce recommender system, collaborative filtering technology is the most popular and successful method at present.
电子商务推荐系统中协同过滤已成为目前应用最广泛、最成功的推荐方法。
Absrtact: In E- commerce recommender system, collaborative filtering technology is the most popular and successful method at present.
摘 要：电子商务推荐系统中协同过滤已成为目前应用最广泛、最成功的推荐方法。
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 technology played an important role in the intelligent search engines, and its cote idea is the users tend to use like - minded user group products.
协同过滤技术在智能搜索引擎中起到了重要作用，它的核心思想是用户会倾向于利用具有相似意向的用户群产品。
Be inspired by the research achievement in e-commerce fields, we try to introduce the collaborative filtering technology into research of personalized recommendation of learning resources.
受电子商务研究领域中相关研究成果启发，我们尝试将协同过滤推荐技术引入学习资源的个性化推荐研究中。
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。
Collaborative filtering is thriving among lots of personalized recommendation technology which leads the recommendation system trends of major e-commerce platforms.
众多个性化推荐技术中协同过滤可谓一枝独秀，该算法引领了当今各大电子商务平台的推荐系统的发展趋势。
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。
Collaborative filtering is a successful technology in information push, but this method has encountered data sparse, cold start and other issues.
协同过滤是目前应用较为成功的信息推送技术，但也遇到了数据稀疏性、冷启动等种种问题。
Collaborative filtering is the most widely used and successful technology for personalized recommender systems. However it faces challenges of scalability and recommendation accuracy.
协同过滤是个性化推荐系统中应用最广泛和最成功的推荐技术，但是它也面临着推荐准确度和可扩展性两大挑战。
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。
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。
应用推荐