Research of Blog Quality Based on Similarity and Influence Analysis

摘要

This work presents a combination of several techniques (such as RSS Feed, Lucene, and MySQL) that constituted a powerful, efficient system to acquire, parse, and optimize data from blogs, and then based on analyzing TF (term frequency) and Links we make a contribution to similarity analysis and influence analysis by proposing another two novel algorithms which are similarity score and influence score. Hence it becomes much easier and more effective to rank the related and authoritative Blogs under the comparison of scores.