Abstract
User modelling has been widely applied to pedantic situations, where we are attempting to infer the user's knowledge. In teaching it is important to know that the user has mastered the elementary concepts before proceeding with the advanced topics. However, the application of user modelling to information retrieval demands a quite different type of user model. Here we construct a user model for browsing, where the user is uncertain of exactly which information he desires. This requires a more inexact and robust user model, that can quickly give guidance to the system. We propose a user model based on neural networks that can be constructed incrementally. Performance of the model shows some promise for this approach. We discuss the advantages and limitations of the approach and its implications for user modelling.
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Jennings, A., Higuchi, H. A user model neural network for a personal news service. User Model User-Adap Inter 3, 1–25 (1993). https://doi.org/10.1007/BF01099423
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DOI: https://doi.org/10.1007/BF01099423