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Comprehensive Study on Usage of Multi Objectives in Recommender Systems

  • M. SruthiEmail author
  • Sini Raj Pulari
  • Ramesh Gowtham
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 28)

Abstract

Recommender systems have changed its purview from prediction accuracy oriented to finding more relevant and useful recommendations to user. “Usefulness” of items are different in different applications. This paper summarizes the works that have been done in this direction. Personalization, context awareness, multiple objectives of recommendations and evaluation metrics are reviewed in this paper.

Keywords

Context-awareness Multi-objective Personalization Recommender systems 

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Copyright information

© Springer International Publishing AG  2018

Authors and Affiliations

  1. 1.Department of Computer Science and Engineering, Amrita School of Engineering, CoimbatoreAmrita Vishwa Vidyapeetham, Amrita UniversityCoimbatoreIndia

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