Method of tags recommendation for blogs: A comparative study
Lijuan Tang, Chengzhi Zhang · 2012
Tags are products of Web 2.0. They play an important role in user modeling, friends or information recommendation. In this paper, keywords from blogs are extracted by using TextRank and TF*IDF algorithms respectively. The keywords are used to tag recommendation. Experiment results show that the performance of these two algorithms is very closely.