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Ranking

  • M. N. MurtyEmail author
  • Anirban Biswas
Chapter
Part of the SpringerBriefs in Intelligent Systems book series (BRIEFSINSY)

Abstract

Ranking is an important task in machine learning, information retrieval, and data mining. We consider different notions like similarity and density and their role in ranking. Further, we discuss how centrality and diversity are captured in a variety of ranking tasks.

Keywords

Similarity Search engine Centrality Diversity 

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Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer Science and AutomationIndian Institute of ScienceBengaluruIndia

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