Housein

a housing rental platform with non-redundant information integrated from multiple sources

Jian Zhou, Zhixu Li*, Qiang Yang, Jun Jiang, Jia Zhu, An Liu, Guanfeng Liu, Lei Zhao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Housing Rental Platforms (HRPs) such as rentalhouses.com, 58.com, ganji.com provide convenient ways to find accommodations, but the redundancy of the rental advertising information within and across platforms brings unpleasant user experience. Besides, rental advertisements are usually presented in the form of a list, which can hardly give users a straightforward big picture about the housing rental market of a particular interested area. In this demonstration, we introduce HouseIn, a novel HRP that expect to: 1) provide users a clear big picture in several aspects about the housing rental market of a particular interested area; and 2) detect those advertisements referring to the same property, such that to give users a price comparison between various platforms for the same apartment for rental. The core challenge in implementing HouseIn lies on the Record Matching problem between these advertisements, given that there is no exact Unit/Building Number of the apartment for the sake of privacy issue, and the detailed information about the house can be various given by different agencies. To handle the Record Matching (RM) problem between these advertisements, we employ several state-of-the-art RM methods plus Information Extraction (IE) techniques to use both structured and unstructured information in the advertisements. We show the advantages of HouseIn with several demonstration scenarios.

Original languageEnglish
Title of host publicationWeb Technologies and Applications
Subtitle of host publication17th Asia-Pacific Web Conference, APWeb 2015, Proceedings
EditorsReynold Cheng, Bin Cui, Zhenjie Zhang, Ruichu Cai, Jia Xu
Place of PublicationCham
PublisherSpringer, Springer Nature
Pages859-862
Number of pages4
ISBN (Electronic)9783319252551
ISBN (Print)9783319252544
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventAsia-Pacific Web Conference (17th : 2015) - Guangzhou, China
Duration: 18 Sep 201520 Sep 2015
Conference number: 17th

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9313
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

ConferenceAsia-Pacific Web Conference (17th : 2015)
Abbreviated titleAPWeb 2015
CountryChina
CityGuangzhou
Period18/09/1520/09/15

Keywords

  • Data integration
  • Housing rental
  • Record matching

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