Designing a Model for Context Awareness Based Reliable Auction-Recommending System (CARARS) by Utilizing Advanced Information

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 215)

Abstract

This thesis aims to solve a problem that, even though the existing auction recommending system provides auction property based on the conditions and contexts users prefer, users cannot rely on the recommended property, but must analyze its investment value or request experts to analyze it. To solve this problem, advanced information in the real estate auction, an analysis of rights, an analysis of commercial quarters, and a development plan, are classified into 5 levels indicating investment value, which will be applied at the recommendation phase. This reliable recommending service is designed to be incorporated in the current context awareness system under a smart mobile environment. Therefore, we call it context awareness-based reliable auction recommending system (CARARS).

Keywords

Context awareness system Recommendation system Real estate auction system 

References

  1. 1.
    Park H (2011) Study on the context awareness-based real estate auction information system under the smart phone environment. J Digit Contents Soc 12(4):585–592Google Scholar
  2. 2.
    Woerndl W, Schueller C, Wojtech R (2007) A hybrid recommender system for context-aware recommendations of mobile applications. In: Proceedings of the 2007 IEEE 23rd international conference on data engineering workshop, pp 871–878Google Scholar
  3. 3.
    Kim S, Oh B, Kim M, Yang J (2012) A movie recommendation algorithm combining collaborative filtering and content information. J Korea Inform Sci Soc Softw Appl 39(4):261–268Google Scholar
  4. 4.
    Shim C, Tae B, Chang J, Kim J, Park S (2006) Implementation of an Application System using Middleware and Context Server for Handling Context-Awareness. Journal of the Korea Information Science Society: Computing Practices, 12(1):31–42Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Multimedia ScienceSookmyung.Women’s UniversityYongsan-guSouth Korea
  2. 2.School of Real Estate ManagementSejong Cyber UniversityGwangjin-guSouth Korea

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