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).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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):585–592
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 871–878
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):261–268
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):31–42
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Park, HJ., Kim, SB. (2013). Designing a Model for Context Awareness Based Reliable Auction-Recommending System (CARARS) by Utilizing Advanced Information. In: Kim, K., Chung, KY. (eds) IT Convergence and Security 2012. Lecture Notes in Electrical Engineering, vol 215. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5860-5_14
Download citation
DOI: https://doi.org/10.1007/978-94-007-5860-5_14
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-5859-9
Online ISBN: 978-94-007-5860-5
eBook Packages: EngineeringEngineering (R0)