Purchases method and system

Data processing: financial – business practice – management – or co – Automated electrical financial or business practice or...

Reexamination Certificate

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Reexamination Certificate

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07983926

ABSTRACT:
In an automated method for providing personalised recommendations to a user, a global probabilistic purchase model based on prior interactions of a group of users of a system, is used in the generation of personalised recommendations for future purchases for a given user. Attributes of the given user are used to identify characteristics relating to the user's personal purchasing, correction factors are calculated to update the output of the global probabilistic purchase model to personalise the recommendations for the user.

REFERENCES:
patent: 6321221 (2001-11-01), Bieganski
patent: 7493294 (2009-02-01), Flinn et al.
Lisboa, P.J. G., Vellido, A. and Wong. H. (2000) “Bias reduction in skewed binary classification with Bayesian neural networks” Neural Networks, 13, 407-410.
Lisboa, P.J. G., Wong, H., Harris, P. and Swindell, R. (2003), “A Bayesian neural network approach for modeling censored data with an application to prognosis after surgery for breast cancer,” Artificial Intelligence in Medicine, vol. 28, No. 1, pp. 1-25.

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