Abstract
As electronic commerce thrives, products on the Web are increasing and consumers are having trouble finding products that meet their desires. Many recommender systems help users find desired products, but not all use communication among users positively for recommendations. We propose a recommender system with a web-chat interface to make an environment where users can talk with each other. By observing conversation in a web-chat interface in real-time and always recognizing user interests, the system can recommend products based on conversation contents.
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Minami, F., Kobayashi, M., Ito, T. (2008). A Proposal on Recommender System Based on Observing Web-Chatting. 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_9
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DOI: https://doi.org/10.1007/978-3-540-79355-7_9
Publisher Name: Springer, Berlin, Heidelberg
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