Two methods for speeding up similarity measurement for profile data

摘要

Two methods have been developed for speeding up a similarity search engine designed for use with a database containing the profiles of people. Both methods speed up similarity measurement while maintaining a high recall ratio compared with that of the TF-IDF method. Experiments showed that the dynamic method had the highest recall ratio (about 72%) and reduced the search time by about 50%.