Index Recommendation Algorithm Based on Louvain Algorithm with the Popularity of Keywords

摘要

The government performance evaluation plays a crucial role in the government's function. However, due to the indicators using for evaluation are in various fields, with a wide range and a large number. The government can only extract some indicators for inspection. In order to make the extracted indicators much more representative, this paper aims to implement an index recommendation algorithm based on Louvain algorithm combined with keyword popularity of the indicators. Finally, the recommendation results are presented together with the front-end d3 framework.