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基于信息搜寻中人机交互行为,从查询重构类型与模式、查询重构绩效、查询重构影响因素及查询式扩展技术4个方面综述国内外关于用户查询重构的研究。得出结论:基于查询重构模式研究,可获悉用户偏向使用的查询重构序列;结合查询重构影响因素和重构序列,可向不同群体用户推荐高概率的查询词,但该研究也存在一定的局限;尽管从检索系统角度,查询重构得到不少学者的广泛关注,但关于用户如何重构查询的研究在中文文献中尚未见到。
Based on the human-computer interaction in information search, this paper summarizes the research on user query reconstruction at home and abroad from four aspects: the type and pattern of query reconstruction, the performance of query reconstruction, the factors influencing query reconstruction and the query expansion technology. The conclusion is that based on the research of query refactoring pattern, we can know the query reconstructed sequence that the user prefers to use. Combined with the query and reconstruction influencing factors and reconstruction sequence, we can recommend high probability query words to different groups of users, but the research also exists However, the research on how to reconstruct the query by users has not been seen in the Chinese literature, although many researchers have paid much attention to the retrieval and reconstruction.