Study on Web Retrieval Query Fusion Based on Relevance Feedback
基于相关反馈的Web检索提问融合研究

This paper introduces the combination of query fusion and relevance feedback methods.By analyzing previous TopN documents selection strategy, it puts forward a query fusion algorithm using correlation coefficient to select a variable number of TopN documents in order to extend query, which is called variable TopN feedback-based query fusion algorithm. Fixed and variable TopN query fusion experiments are analyzed separately, and the test results show that the variable TopN feedback method improves the retrieval performance to some extent.