查询推荐研究综述

Query suggestion is an important technique for improving search efficiency and its core task is to help users construct effective queries to accurately describe users’ information requirements. As one of the core technologies of search engine, query suggestion has attracted wide attention in both academia and industry and has long been considered to be an important research topic in information retrieval. This paper summarizes the recent research progress in query suggestion using papers published in China’s and international conferences and journals. On this basis, the mainstream methods—simple occurrence information-based method, graph-based method and integration of multiple information-based methods are reviewed in detail in this paper. And then, the related evaluation methods and metrics are summarized and commented. Finally, the possible future research directions are pointed out.