Different Content Based Recommendation Approaches Recommendations Based On Machine Learning
This slide talks about the idea behind the content based recommendation systems. The purpose of this slide is to show the two different ways of implementing a content based filtering model. These types include item-centred and user-centred filtering methods.
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This slide talks about the idea behind the content based recommendation systems. The purpose of this slide is to show the two different ways of implementing a content based filtering model. These types include item-centred and user-centred filtering methods. Present the topic in a bit more detail with this Different Content Based Recommendation Approaches Recommendations Based On Machine Learning. Use it as a tool for discussion and navigation on Approaches, Personalized, Characteristics. This template is free to edit as deemed fit for your organization. Therefore download it now.
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