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Ingredient mix with recommender systems

Author

Listed:
  • anand, atul

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.

Suggested Citation

  • anand, atul, 2019. "Ingredient mix with recommender systems," MPRA Paper 98215, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:98215
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    File URL: https://mpra.ub.uni-muenchen.de/98215/1/MPRA_paper_98215.pdf
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    More about this item

    Keywords

    marketing psychology; malcolm gladwell; dan ariely; choice; consumer happiness; barry swartz; product design;
    All these keywords.

    JEL classification:

    • C59 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Other
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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