Recommender systems recommend suggestions from data coming from s single organization database. Thus, they improve their accuracy with data availability and increased user's interactions. Systems that don't have data can't accurately predict. To solve the cold start problem, different recommender systems can share their knowledge in order to better the recommendations.
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