A re-ranking approach for categorization information retrieval based on multiple feature selection

In this paper, a re-ranking approach for categorization information retrieval is proposed to improve precision based on hierarchical feature selection method. This paper discusses the multiple feature selection method and designs an algorithm to implement the method. The multiple feature selection method is to select features from texts that are organized in the form of hierarchy and we can re-rank information retrieval results with these selected multiple features, In addition, this paper discusses how to use multiple features selected to re-rank information retrieval results. At last, an evaluation model is presented to prove this re-ranking approach. Experimental results showed that the method is simple, with common domains, and good results were achieved. 1553-9105/