An Improved Algorithm for Ranking in Information Retrieval
Xia You-ming · Journal of Yunnan University of Nationalities · 2010
The core function of information retrieval is to find out a subset of the most relevant documents from the files,and to rank the relevance of the results according to the ranking algorithm,so the effectiveness of the ranking algorithm directly affects the efficiency of retrieval.RLR algorithm improves the regularized empirical risk model,and greatly reduces the computational complexity.This has improved the RLR algorithm by allowing certain errors and using the symmetric e-insensitive logistic loss function,and proved some properties of the symmetric e-insensitive logistic loss function.Experiments show that the new algorithm is effective for text ranking.