The Use of Recommender Systems in Decision Support–A Case Study on Used Car Dealers

This research focuses on the use of a recommender system in decision support by means of a used car dealer case study in Bangkok Metropolitan. The goal is to develop an effective used car purchasing system for dealers based on the above premise. The underlying principle rests on content-based recommendation from a set of usability surveys. A prototype was developed to conduct buyers- survey selected from 5 experts and 95 general public. The responses were analyzed to determine the mean and standard deviation of buyers- preference. The results revealed that both groups were in favor of using the proposed system to assist their buying decision. This indicates that the proposed system is meritorious to used car dealers.

Authors:

• Nalinee Sophatsathit

Keywords:

• Recommender Systems
• Decision Support
• Content- Based Recommendation
• used car dealer.

References:

[1] Ana Belén Barrag├íns Mart├¡nez, José J. Pazos Arias, Ana Fern├índez
Vilas, Jorge García Duque, and Martín López Nores. "What's on TV
Tonight? An Efficient and Effective Personalized Recommender System
of TV Programs." IEEE Transactions on Consumer Electronics, Vol.
55, No. 1, 2009, 286-294.
[2] Ekstrand, M. D., Kannan, P., Stemper, J.A., Butler, J. T., Konstan, J. A.,
and Riedl, J. T. "Automatically Building Research Reading Lists." ACM
conference on Recommender systems (RecSys-10), 2010, 159-166.
[3] G. Adomavicius and Y. Kwon. "New Recommendation Techniques for
Multicriteria Rating Systems." IEEE Intelligence Systems, vol. 22, No.
3, 2007, 48-55.
[4] Maneeroj, S. and Takasu, "A. Hybrid Recommender System Using
Latent Features." Proceedings of the IEEE International Symposium on
Mining and Web (MAW09), 2009, 661-666.
[5] Nascimento, C., Laender, A. H. F., Silba, A. S. D., and Goncalves, M.
A. "A Source Independent Framework for Research Paper
Recommendation." Joint Conference on Digital Libraries (JCDL11),
2011, 297-306.
[6] Olifur Pall E. "Content Personalization for Mobile TV Combining
Content-Based and Collaborative Filtering." Master Thesis of Center for
Information and Communication Technology (CICT), Technical
University of Denmark (DTU), 2007.
[7] R. J. Mooney and L. Roy. "Content-Based Book Recommending Using
Learning for Text Categorization." Proceedings of the Fifth ACM
conference on Digital Libraries, 2007, 195-204.
[8] Robin van Meteren, Maarten van Someren. "Using Content-Based
Filtering for Recommendation." Proceedings of ECML 2000 Workshop:
Machine Learning in New Information Age, 2000, 47-56.
[9] First car tax exemption, Excise Department, Ministry of Finance,
September 16, 2011.