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3.3.2 Prediction Phase

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It is the second phase of recommender system. The main objective is to estimate the rating or score of unrevealed or unspecified items for every client. This process is done by a utility function based on the extracted data which is provided by the modeling phase. Different filtering techniques are diagrammatically shown in Figure 3.3.

Figure 3.3 Filtering techniques of MCRS.

Advanced Analytics and Deep Learning Models

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