T$k$QS: A Top-$k$ Keyword Query Suggestion System
Xiangfu Meng, Xiaoyan Zhang, Zeqi Zhao · 2018
Providing semantically related keyword queries is useful for users who are unfamiliar with the searching domain or have imprecise ideas about their query intentions. This paper describes a keyword query semantic relationship measuring approach and presents a corresponding demo system TkQS for top- k keyword query suggestion. The demo system consists of two components, coupling relationship measuring component and top@ k query suggestion component. The first component computes the keyword coupling relationships and query semantic relationships while the second component provides top- k semantic relevant queries for the given query. Demo system and experimental results identified the efficiency of our approach.