Entity Ranking
Abstract
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 chapter, we introduce how to build a Web-scale entity ranking system based on machine learned ranking models. Specifically, the entity ranking system usually takes advantage of structured knowledge bases, entity relationship graphs, and user data to derive useful features in order to facilitate semantic search with entities directly within the learning-to-rank framework. Similar to generic Web search ranking, entity pairwise preference can be leveraged to form the objective ...
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