Ranking of keyword‐combined searches in relational databases based on relevance to the user query
Woong-Kee Loh, Hyuk-Yoon Kwon · Electronics Letters · 2020
In this Letter, the authors deal with ranking of keyword‐combined searches in relational databases based on relevance to the user query, which they call KEYSIM searches . They formally define KEYSIM searches and propose a threshold‐based method for efficiently processing KEYSIM searches. Their proposed method is the first one to find top‐ k results considering both numerical similarity and textual similarity. Through the experiments using five real and synthetic data sets, they show the efficiency and scalability of the proposed method.