@inproceedings{1201984049a24569858cb79154774718,
title = "A peer to peer housing rental system with continuous spatial-keyword searching",
abstract = "Apart from traditional intermediary companies, online housing rental systems as their convenience are gaining their popularity. Search is a critical function in these systems, but it does not always meet users{\textquoteright} satisfaction. For example, spatial and keyword distributions are generally be considered separately and the user cannot submit a continuous query requirement before he/she rent a satisfied house. In this paper, we develop a peer to peer housing rental system (P2PHRS) based on Django Framework of Python. We propose an efficient house searching algorithm called Quad-tree plus Inverted List (QIL) to filter housing resources for users according to their spatial and keyword requirements. P2PHRS is designed to be adaptive to a variety of front-end clients, like Web, Android and iOS platform etc.We show the advantages of P2PHRS by several spatial-keyword query demonstration scenarios.",
keywords = "Continuous spatial keyword- searching, Django framework, House renting",
author = "Yingqian Hou and Xinyin Wang and Liping Wang and Junjie Yao",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 27th Australasian Database Conference on Databases Theory and Applications, ADC 2016 ; Conference date: 28-09-2016 Through 29-09-2016",
year = "2016",
doi = "10.1007/978-3-319-46922-5\_37",
language = "英语",
isbn = "9783319469218",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "448--452",
editor = "Cheema, \{Muhammad Aamir\} and Wenjie Zhang and Lijun Chang",
booktitle = "Databases Theory and Applications - 27th Australasian Database Conference, ADC 2016, Proceedings",
address = "德国",
}