A relevance feedback retrieval system based on indri toolkit

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