In the context of previous publications, we propose a new lightweight UM process, intended to work as a tourism recommender system in a commercial environment. The new process tackles issues like cold start, gray sheep and over specialization through a rich user model and the application of a gradual forgetting function to the collected user action history. Also, significant performance improvements were achieved regarding the previously proposed UM process. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Luz, N., Anacleto, R., Martins, C., & Almeida, A. (2011). Lightweight user modeling - A case study. In Advances in Intelligent and Soft Computing (Vol. 89, pp. 77–84). https://doi.org/10.1007/978-3-642-19917-2_10
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