Published January 1, 2012 | Version v1
Journal article Open

Estimating NBC-based recommendations on arbitrarily partitioned data with privacy

  • 1. Anadolu Univ, Dept Comp Engn, TR-26470 Eskisehir, Turkey

Description

Providing partitioned data-based recommendations has been receiving increasing attention due to mutual advantages. In case of limited data, it is not likely to estimate accurate and reliable predictions. Therefore. e-commerce sites holding insufficient ratings prefer offering predictions to their customers based on integrated data. However, users' preferences about products are considered online vendors' confidential and valuable assets; and they do not want to disclose them their partners during collaborative prediction processes.

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