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Entity ranking is a recent paradigm that refers to retrieving and ranking related objects and entities from different structured sources in various scenarios. Entities typically have associated categories and relationships with other entities. In this work, we present an extensive analysis of Web-scale entity ranking, based on machine learned ranking models using an ensemble of pair-wise preference models. Our proposed system for entity ranking uses structured knowledge bases, entitydoi:10.1016/j.neucom.2015.04.004 fatcat:xmezq76o2fdd5efeygiixjis6i