Research of Social Opinion Monitoring Mechanism of Baoding City Based on micro-blogging

摘要

Recent years have witnessed a tremendous growth of research and application in the field of social opinion monitoring mechanism. Moreover, social tagging has grown to be a particular tool for users to organize and share digital content on many social webpages. Among the knowledge discovery techniques that are applied in social tag recommendation systems, those based on collaborative filtering are achieving widespread success. The similarity measurement is critical to determine the appropriate results recommendation in the collaborative-filtering schema. In the paper, a nugget is introduced as an atomic conceptual entity, to measure the similarity of web con-tent and recommend tags. With nuggets, we can use the conceptual neighbors, rather than the literal ones for collaborative filtering, which consider the common case that the expression varies for a specific concept. The experiments conducted on the dataset from micro-blogging about Baoding city, have shown that the approach is effective and consistently achieves better precision and recall than both baselines.