Personalized Product Recommendation in e-Commerce
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
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This paper proposes a robotic agent named 'Genie' that understands a user's wish and gives its possible answers on a social network platform. Once a potential wish is detected upon monitoring the text updates in the micro-blog of the user, the agent initiates a task to help the user with both NLP and metadata analysis. As an interaction scenario, we set the type of a robot as an agent that identifies wishful products by searching for and analyzing product information on the web. After an analysis of the vast amount of data, the agent provides possible answers to the user as a way of granting the wish that might require additional time and effort to achieve. In order to draw the user's attention, the agent makes a physical movement as a push notification with more user-friendliness.