Application of PLSA methodology for adaptive correction of user model

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The paper considers the algorithm of the continuous model (profile) correction. The initial data are the initial profile and the previous inquiry history. The PLSA (Probabilistic Latent Semantic Analysis) methodology is used in the algorithm. To achieve the object in view, the term temporary latent semantic space is introduced.

Probabilistic latent semantic analysis, user model, user profile

Короткий адрес: https://sciup.org/148176814

IDR: 148176814

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