Abstract
On the Web, Electronic Commerce is widely thriving with development of the Web technology. However, users still have trouble finding products that will find their desires. In recent researches, they have introduced many kinds of method for Recommender systems, but these system still have problems which are based on concrete attributes of the products and a complex users model. Within this paper, we introduce a new technique, Goal Oriented Recommendation, which works even when users do not want exactly products that they are looking for. Moreover, the system processes users’ input (e.g. “I’m going to have dinner with my boss” or “I’m looking for my wife’s birthday presents”) with a own concept dictionary which contains a occasion word and a person word. The system can recommend items based on users’ desire, if users input their desire.
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
Preview
Unable to display preview. Download preview PDF.
References
Amazon.com, http://www.Amazon.com/
Bruke, R., Hammond, K., Young, B.: The FindMe Approach to Assisted Browsing. IEEE Expert 12(4), 32–40 (1997)
Fano, A., Kurth, S.W.: Personal Choice Point: Helping users visualie what it means to buy a BMW. In: Proc of IUI, pp. 32–46 (2003)
Ha, V., Haddawy, P.: Problem-Focused International Elicitation of Multi-Attribute Utility Models. In: Proc of UAI, pp. 215–222 (1997)
Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating collaborative filtering recommender systems. In: ACM Transactions on Information Systems 22, 5–53 (2004)
Goker, M.H., Thompson, C.A.: Personal Conversational Case-Based Recommendation. Springer, Heidelberg (2000)
Guo, H.S.: Live recommendations through social agents. In: Fifth DELOS Workshop on Filtering and Collaborative Filtering, Budapest (1997)
Liu, H., Singh, P.: ConceptNet: a practical commonsense reasoning toolkit. BT Technology Journal 22(4), 211–226 (2004)
Marui web channel, http://voi.0101.co.jp/voi/index.jsp
Resnick, P., Varian, H.R.: Recommender Systems. Communications of the ACM 40(3), 56–58 (1997)
Shen, E., Lieberman, H., Lam, F.: What am I gonna wear?: Scenatio-Oriented Recommendation. In: Proceedings of the International Conference on Intelligent User Interface, IUI 2007, Honolulu, Hawaii, USA, January 28–31 (2007)
Shearin, S., Lieberman, H.: Intelligent Profiling by Example. In: Proc of IUI, pp. 145–151 (2001)
Shumida, A., Torisawa, K.: Hacking Wikipedia for Hyponymy Relation Acquisition. In: Proceedings of the Third International Joint Conference on Natural Language Processing (IJCNLP) (2008)
Singh, P., Lin, T., Mueller, E.T., Lim, G., Perkins, T., Zhu, W.L.: Open Mind Common Sense: Knowledge acquisition from the general public. In: Proc. of the 1st International Conference on Ontologies, Databases, and Applications of Semantics for Large Scale Information Systems (2002)
Wikipedia, http://en.wikipedia.org/
Yahoo.com, http://www.yahoo.com/
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Kobayashi, M., Minami, F., Ito, T., Tojo, S. (2008). An Implementation of Goal-Oriented Fashion Recommendation System. In: Nguyen, N.T., Katarzyniak, R. (eds) New Challenges in Applied Intelligence Technologies. Studies in Computational Intelligence, vol 134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79355-7_8
Download citation
DOI: https://doi.org/10.1007/978-3-540-79355-7_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79354-0
Online ISBN: 978-3-540-79355-7
eBook Packages: EngineeringEngineering (R0)