The main disadvantage of the way is the problem of data sparsity.
对于半监督方法，目前存在的一个严重的问题是数据稀疏问题。
Translation template can solve the problem of data sparsity, large storage space and low matching precision of examples.
利用翻译模板可以有效的解决翻译实例的数据稀疏问题、简化实例库的规模并提高实例匹配的精确率。
Aiming at the problem of data sparsity for collaborative filtering, a novel rough set-based collaborative filtering algorithm is proposed.
针对协同过滤中的数据稀疏问题，提出了一种基于粗集的协同过滤算法。
However, collaborative filtering has got challenges, such as data sparsity, high dimensions, cold start, and real-time recommendation issues with the fast growth in the amount of users and items.
但是随着用户数量和系统规模的不断扩大，协同过滤推荐技术将面临严重的数据稀疏性、超高维、冷启动和实时推荐等方面的挑战。
Data sparsity problem is a potential challenge of collaborative filtering.
数据稀缺性问题是协同过滤技术面临的主要挑战。
Data sparsity problem is a potential challenge of collaborative filtering.
数据稀缺性问题是协同过滤技术面临的主要挑战。
应用推荐