The content-based cluster P2P search model depending on a set distance is proposed in this paper to reduce the query time and redundant messages.
本文提出利用集合差异度实现基于内容聚类的P2P搜索模型提高查询效率和减少冗余消息。
There are three common approaches to solving the recommendation problem: traditional collaborative filtering, cluster models, and search-based methods.
解决推荐问题有三个通常的途径：传统的协同过滤，聚类模型，以及基于搜索的方法。
The RDF-based dynamic semantic search algorithm is discussed, and on the basis a cluster-based RDF dynamic semantic search algorithm is proposed.
对基于RDF的动态语义检索算法进行了探讨，在它的基础上提出了一种基于“簇”的RDF动态语义检索算法。
Clustering search's purpose is to help users find information quickly, it's outstanding feature is based on a property, on the search results returned by the cluster.
聚类搜索的目的就是为了快速帮助用户寻找信息，它的突出特点是根据某一属性，对搜索返回的结果进行聚类。
Clustering search's purpose is to help users find information quickly, it's outstanding feature is based on a property, on the search results returned by the cluster.
聚类搜索的目的就是为了快速帮助用户寻找信息，它的突出特点是根据某一属性，对搜索返回的结果进行聚类。
应用推荐