In this paper, we aim to address a frequent shortcoming of electronic commerce: the lack of customer service. We present an approach to product recommendation using a modified cycle for case-based reasoning in which a new refinement step is introduced. We then use this cycle combined with a heuristic we devised to create a short-term profile of the client. This profile is not stored or reused after the transaction, reducing maintenance. In fact, it allows the client and the system to find an appropriate product to satisfy the client on the basis of available products in a potentially efficient way.
CITATION STYLE
Aimeur, E., & Vézeau, M. (2000). Short-term profiling for a case-based reasoning recommendation system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1810, pp. 23–30). Springer Verlag. https://doi.org/10.1007/3-540-45164-1_3
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