Collaborative filtering was applied to automatically recommend categories for a Chinese Wikipedia article. Four typical semantic features namely incoming link, outgoing link, incoming link categories and outgoing link categories, were adopted to represent articles. Among all the categories of articles similar to target article, several most similar categories were chosen as the recommendation results to the target article, via calculating the similarity value between them. The experimental results show that the four semantic features have efficient performance in Wikipedia article representati...
