Redundancy and novelty mining in the business blogosphere

The paper aims to explore the performance of redundancy and novelty mining in the business blogosphere, which has not been studied before.

Novelty mining techniques are implemented to single out novel information out of a massive set of text documents. This paper adopted the mixed metric approach which combines symmetric and asymmetric metrics.

The results show that the novelty mining system can detect novel and redundant blogs in the dataset of business blogs with a very high accuracy.

This paper shows that novelty mining techniques can be applied to business blogs to help organizations filter redundant information, and that the cosine and mixed metrics approaches produce better results.