J4 ›› 2011, Vol. 46 ›› Issue (5): 58-62.
• Articles •
HE Shi-zhu, WANG Ming-wen, ZHOU Jun-jun, SHI Song
The deep classification model is an effective paradigm for solving largescale 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.
outperforms deep classification; large scale hierarchy; hierarchical classification; rocchio
HE Shi-zhu, WANG Ming-wen, ZHOU Jun-jun, SHI Song. Research on large-scale text hierarchies combining relevant category information[J].J4, 2011, 46(5): 58-62.
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