IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2406.16212.html
   My bibliography  Save this paper

A Mechanism for Optimizing Media Recommender Systems

Author

Listed:
  • Brian McFadden

Abstract

A mechanism is described that addresses the fundamental trade off between media producers who want to increase reach and consumers who provide attention based on the rate of utility received, and where overreach negatively impacts that rate. An optimal solution can be achieved when the media source considers the impact of overreach in a cost function used in determining the optimal distribution of content to maximize individual consumer utility and participation. The result is a Nash equilibrium between producer and consumer that is also Pareto efficient. Comparison with the literature on Recommender systems highlights the advantages of the mechanism, including identifying an optimal content volume for the consumer and improvements for optimizing with multiple objectives. A practical algorithm for generating the optimal distribution for each consumer is provided.

Suggested Citation

  • Brian McFadden, 2024. "A Mechanism for Optimizing Media Recommender Systems," Papers 2406.16212, arXiv.org, revised Jul 2024.
  • Handle: RePEc:arx:papers:2406.16212
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2406.16212
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Attila Ambrus & Emilio Calvano & Markus Reisinger, 2016. "Either or Both Competition: A "Two-Sided" Theory of Advertising with Overlapping Viewerships," American Economic Journal: Microeconomics, American Economic Association, vol. 8(3), pages 189-222, August.
    2. Simon P. Anderson & Stephen Coate, 2005. "Market Provision of Broadcasting: A Welfare Analysis," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 947-972.
    3. Evans, Alan W, 1972. "On the Theory of the Valuation and Allocation of Time," Scottish Journal of Political Economy, Scottish Economic Society, vol. 19(1), pages 1-17, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Simon P. Anderson & Øystein Foros & Hans Jarle Kind, 2019. "The importance of consumer multihoming (joint purchases) for market performance: Mergers and entry in media markets," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(1), pages 125-137, January.
    2. Emilio Calvano & Michele Polo, 2020. "Strategic Differentiation by Business Models: Free-To-Air and Pay-TV," The Economic Journal, Royal Economic Society, vol. 130(625), pages 50-64.
    3. Jullien, Bruno & Pavan, Alessandro & Rysman, Marc, 2021. "Two-sided Markets, Pricing, and Network Effects," TSE Working Papers 21-1238, Toulouse School of Economics (TSE).
    4. Paul Belleflamme & Martin Peitz, 2018. "Platforms and network effects," Chapters, in: Luis C. Corchón & Marco A. Marini (ed.), Handbook of Game Theory and Industrial Organization, Volume II, chapter 11, pages 286-317, Edward Elgar Publishing.
    5. Anderson, Simon P. & Peitz, Martin, 2020. "Media see-saws: Winners and losers in platform markets," Journal of Economic Theory, Elsevier, vol. 186(C).
    6. Torben Stühmeier, 2019. "Media market concentration and pluralism," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(2), pages 247-259, April.
    7. Simon P. Anderson & Bruno Jullien, 2015. "The advertising-financed business model in two-sided media markets," Post-Print hal-02866192, HAL.
    8. Guy Aridor & Yeon-Koo Che & Brett Hollenbeck & Maximilian Kaiser & Daniel McCarthy, 2024. "Evaluating the Impact of Privacy Regulation on E-Commerce Firms: Evidence from Apple’s App Tracking Transparency," CESifo Working Paper Series 10928, CESifo.
    9. Susan Athey & Emilio Calvano & Joshua S. Gans, 2018. "The Impact of Consumer Multi-homing on Advertising Markets and Media Competition," Management Science, INFORMS, vol. 64(4), pages 1574-1590, April.
    10. Susan Athey & Emilio Calvano & Joshua Gans, 2013. "The Impact of the Internet on Advertising Markets for News Media," NBER Working Papers 19419, National Bureau of Economic Research, Inc.
    11. Simon P. Anderson & Martin Peitz, 2023. "Ad Clutter, Time Use, and Media Diversity," American Economic Journal: Microeconomics, American Economic Association, vol. 15(2), pages 227-270, May.
    12. Anna D’Annunzio & Antonio Russo, 2020. "Ad Networks and Consumer Tracking," Management Science, INFORMS, vol. 66(11), pages 5040-5058, November.
    13. Simon P. Anderson & Øystein Foros & Hans Jarle Kind, 2018. "Competition for Advertisers and for Viewers in Media Markets," Economic Journal, Royal Economic Society, vol. 128(608), pages 34-54, February.
    14. Jiangli Dou & Bing Ye, 2018. "Product Differentiation, Exclusivity, and Multi-purchasing," Annals of Economics and Finance, Society for AEF, vol. 19(1), pages 301-318, May.
    15. Anna D’Annunzio & Antonio Russo, 2024. "Intermediaries in the Online Advertising Market," Marketing Science, INFORMS, vol. 43(1), pages 33-53, January.
    16. Foros, Øystein & Kind, Hans Jarle & Wyndham, Tim, 2019. "Tax-free digital news?," International Journal of Industrial Organization, Elsevier, vol. 66(C), pages 119-136.
    17. Andre Boik, 2016. "Intermediaries in Two-Sided Markets: An Empirical Analysis of the US Cable Television Industry," American Economic Journal: Microeconomics, American Economic Association, vol. 8(1), pages 256-282, February.
    18. Calvano, Emilio & Polo, Michele, 2021. "Market power, competition and innovation in digital markets: A survey," Information Economics and Policy, Elsevier, vol. 54(C).
    19. Song Lin, 2020. "Two-Sided Price Discrimination by Media Platforms," Marketing Science, INFORMS, vol. 39(2), pages 317-338, March.
    20. Zennyo, Yusuke, 2020. "Freemium competition among ad-sponsored platforms," Information Economics and Policy, Elsevier, vol. 50(C).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2406.16212. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.