Chinese query expansion based on related term group

This paper proposes a novel method to improve the performance of Chinese information retrieval systems by expanding queries using automatically acquired related term groups. Unlike traditional query expansion methods, the related term groups extracted from Web-based corpuses and the related term extracted from document set are used in combination to improve the effectiveness of query expansion in our method. Experiments show that our method achieves an average 24.5% improvement compared to the traditional relevance feedback technique.