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Knowledge based recommendation systems use knowledge about users and products to make recommendations. Knowledge-based recommendations are not dependent on the rating, nor do they have to gather information about a particular user to give recommendations. Knowledge acquisition is the most important task for constructing knowledge-based recommendation system. Acquired knowledge must be represented in some structured machinereadable form, e.g., as ontology to support reasoning about what productsdoi:10.5120/ijca2019918538 fatcat:4sjcikxbebdblcquhiysbte26u