Reliable trust recommendation model for feature weighting in text categorization
一种可靠信任推荐文本分类特征权重算法*

By reliable trust recommendation, used a feature weighting approach to construct the simplest linear weighting classifier in the procedure of which characteristics of feature were explored, while the trust relationship between features and categories was developed based on Beta distribution function. Experiments with 20newsgroup and Fudan Chinese evaluation data collection reported shows that this new algorithm generally outperformed TFIDF, and has good adaptability to non-equilibrium corpus.