Logo
Munich Personal RePEc Archive

Ingredient mix with recommender systems

anand, atul (2019): Ingredient mix with recommender systems.

[thumbnail of MPRA_paper_98215.pdf]
Preview
PDF
MPRA_paper_98215.pdf

Download (504kB) | Preview

Abstract

The product owners and marketers are always looking to launch new products and are presented constantly with the problem of what products or the variants they should present to the consumer. We present modern aspects of studies in this regard and combine them. We look deeper in the problems pertaining to earlier researches on product choices. We also provide a framework to the solution of this problem using recommender systems.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.