Research of Intelligent Personalized Information Retrieval System Based on the Improved VSM Algorithm
Ying Hong · Journal of Beijing Institute of Clothing Technology · 2010
Search engine played an important role in information retrieval,but it was difficult to ensure information precision rate and personalization.To solve these problems,proposed a personalized information retrieval system based on the meta search engine.It used multi-Agent technology to build system,adopt user knowledge database to create and update user models.It improved the vector space model algorithm with user knowledge base.Experiment results showed that system had a substantial increase in the precision rate and could meet the user personalized demand.