Publication Type:

Journal Article

Source:

Lecture Notes in Computational Vision and Biomechanics, Springer Netherlands, Volume 28, p.55-67 (2018)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042395859&doi=10.1007%2f978-3-319-71767-8_5&partnerID=40&md5=d1fee851b9183bdd3677b469b3239343

Abstract:

<p>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. © 2018, Springer International Publishing AG.</p>

Notes:

cited By 0

Cite this Research Publication

M. Sruthi, Pulari, S. R., and Gowtham, R., “Comprehensive study on usage of multi objectives in recommender systems”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 55-67, 2018.

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