Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30172
Matching Current Search with Future Postings

Authors: Kim Nee Goh, Viknesh Kumar Naleyah

Abstract:

Online trading is an alternative to conventional shopping method. People trade goods which are new or pre-owned before. However, there are times when a user is not able to search the items wanted online. This is because the items may not be posted as yet, thus ending the search. Conventional search mechanism only works by searching and matching search criteria (requirement) with data available in a particular database. This research aims to match current search requirements with future postings. This would involve the time factor in the conventional search method. A Car Matching Alert System (CMAS) prototype was developed to test the matching algorithm. When a buyer-s search returns no result, the system saves the search and the buyer will be alerted if there is a match found based on future postings. The algorithm developed is useful and as it can be applied in other search context.

Keywords: Matching algorithm, online trading, search, future postings, car matching

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1333590

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1081

References:


[1] C.K. Lee and D. K. W. Chiu, " Ontology based personalized service in e-marketplaces: a case study in a used car matching system," in Proc. 4th International Conf. on Innovations in Information Technology, Dubai, United Arab Emirates, 2008, pp. 631-635.
[2] Private sellers warned over Car Matching Scams. Retrieved May 20, 2009, from http://www.south-ayrshire.gov.uldnews/Private-sellers¬warned-over-Car-Matching-Scams 555.aspx
[3] J. Zhang, R. Cohen, and K. Larson, "A Trust-Based Incentive Mechanism for E-Marketplaces," in Lecture Notes In Artificial Intelligence, 2008, pp. 135-161.
[4] OFT: Beware of car-matching scams which cost £3m annually. Retrieved June 15, 2011. Available: http://www.moneynews. co.uk/6735/oft-beware-of-car-matching-scams-which-cost-3 m-annually
[5] Levene, T. OFT targets car sales scammers. Retrieved June 15, 2011. Available: http://www.guardian.co.uk/money/2009/may/28/oft-vehicle-matching-scam
[6] Match.com. Retrieved June 15, 2011. Available http://my.match.com/myhome/myhome.aspx?lid=45000
[7] R. Zhang, Y. Wang, and J. Wang, "Research on ontology matching approach in semantic web," in Proc. International Conference on Internet Computing in Science and Engineering, (ICICSE '08), Washington, DC, 2008, pp. 254-257.
[8] B. J. Jansen and P. R. Molina, "The effectiveness of web search engines for retrieving relevant ecommerce links," Information Processing and Management J., vol. 42, pp. 1075-1098, Oct. 2005.
[9] Y. Shang and L. Li, "Precision evaluation of search engines," in Proc. of World Wide Web: Internet and Web Information Systems, The Netherlands, 2002, pp. 159-173.
[10] H.R. Yang, M. Xu, N. Zheng, "An improved method for ranking of search results based on user interest," in Proceedings of International Conference on Network and Parallel Computing, (NPC '08), Washington, DC, 2008, pp. 132-138.