Abstract:

The deep classification model is an effective paradigm for solving largescale classification problems. An improved model was proposed based on the paradigm. First, a new method was used to evaluate the effectiveness of search stage independently. Second, the category and document information were collectively used to select category candidates. Finally, the classifier of Rocchio was trained based on the class centroid, and at the same time the information of related categories was used to determine the final category. Experiments on the corpus ODP show that the proposed approach outperforms the other new  methods.

Key words:  outperforms deep classification; large scale hierarchy; hierarchical classification; rocchio