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Research aims to improve the quality and accuracy of recommendation and address the new item problem by linearly combining Content-Based and Collaborative Filtering techniques.
Different from the related works, we form a simple calculation for ¥á with respect to a confidence factor.
¥á is calculated from a confidence factor for each item, so that, the calculation of prediction takes more parts from Collaborative Filtering or Content-based Filtering depending on such confidence level
Proposed method is also straightforward enough to be implemented in a real application
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