Pinnersage Recommendation Method: How It Works
Pinnersage uses the collective intelligence and knowledge of many users to suggest relevant pins based on a search query. The network is made up of the queries, users, and pins. Pinnersage users can then be presented with relevant pins based upon their query, as determined by the collective intelligence and consensus of the crowd. Pinnerage then uses machine learning models for verifying the relevancy of the pins. The machine learning models can be used to provide the best pins for users, which is a great way to find them. Pinnersage lets users add ratings and comments to their pins to create an interactive and social environment. Pinnersage allows you to leave feedback about the pins. This improves the relevancy and creates a social experience. Pinnersage provides an interactive environment by using traditional search, machine learning, and feedback from its users in order to provide the best pins. Cont…
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