情报杂志Issue(4)：179-183,189,6.DOI:10.3969/j.issn.1002-1965.2014.04.033
基于标签网络聚类的个性化资源推荐模型研究
Model for Personalized Resource Recommendation Based on Tags Networks Clustering
摘要
Abstract
In this paper, the relationship between social tags was seen as a complex network. The algorithm of AL, which is used for finding communities in complex networks, was used to cluster social tags, the semantic ambiguity of tags was solved afterwards by making use of its specialty in finding overlapping clustering, at the same time, the problem of data sparsity was alleviated. Then, by computing user's interest for tag cluster formed and computing the correlation between resources and tag cluster, the paper achieved personalized rec-ommendation. The superiority of the model proposed was proved by experiment at last.关键词
标签聚类/复杂网络/连边社团检测/个性化推荐/语义模糊/数据稀疏Key words
social tags clustering/complex networks/the algorithm of AL/personalized recommendation/semantic ambiguity/data sparsity分类
社会科学引用本文复制引用
赵艳,王亚民,刘怀亮..基于标签网络聚类的个性化资源推荐模型研究[J].情报杂志,2014,(4):179-183,189,6.基金项目
国家自然科学基金项目“基于复杂网络的中文文本语义相似度研究”的成果之一(编号:71373200)。 （编号:71373200）
