An Efficient Algorithm for Location-Aware Query Autocompletion

Sheng HU  Chuan XIAO  Yoshiharu ISHIKAWA  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E101-D   No.1   pp.181-192
Publication Date: 2018/01/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2017EDP7152
Type of Manuscript: PAPER
Category: Data Engineering, Web Information Systems
Keyword: 
query autocompletion,  spatial databases,  top-k queries,  

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Summary: 
Query autocompletion is an important and practical technique when users want to search for desirable information. As mobile devices become more and more popular, one of the main applications is location-aware service, such as Web mapping. In this paper, we propose a new solution to location-aware query autocompletion. We devise a trie-based index structure and integrate spatial information into trie nodes. Our method is able to answer both range and top-k queries. In addition, we discuss the extension of our method to support the error tolerant feature in case user's queries contain typographical errors. Experiments on real datasets show that the proposed method outperforms existing methods in terms of query processing performance.