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.
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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
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DOI: https://doi.org/10.1007/978-3-540-79355-7_8
Publisher Name: Springer, Berlin, Heidelberg
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