A relevance feedback retrieval system based on indri toolkit

摘要: Relevance feedback is an important application in information retrieval on Internet. This paper introduces a relevance system to improve the searching results. The built Indri toolkit, using pseudo method. First, we introduce framework of and methods used each module. main module In this module, our algorithm called KNN-KL-LM introduced details for query expansion, which essential feedback. Experiments show that results are obviously improved.