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Recommender systems effect on user' choice behaviour

Published: 17 March 2020 Publication History

Abstract

Recommender systems (RSs) research is so far focused mainly on improving recommendations' quality and precision. However, it is also important to discover the effect of RSs on users' behaviours. So far, very few researches have analysed the effect of RSs on users' behaviours. Therefore, not much knowledge about this essential topic is obtained. Hence, in this PhD researchwe focus on RSs' effect on users' behaviours. In order to investigate this effect, we propose a simulation procedure of users' choices under the influence of a RS. Then we measure metrics on users' choices that capture RSs effect. Moreover, we propose to conduct online experiments to study the effect of RSs by designing web-based platforms tracking the choices of the users in systems that offer also recommendations to the users.

References

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William A Brock and Steven N Durlauf. 2002. A multinomial-choice model of neighborhood effects. American Economic Review 92, 2 (2002), 298--303.
[2]
Robert Dorfman. 1979. A formula for the Gini coefficient. The review of economics and statistics (1979), 146--149.
[3]
Daniel Fleder and Kartik Hosanagar. 2009. Blockbuster culture's next rise or fall: The impact of recommender systems on sales diversity. Management science 55, 5 (2009), 697--712.
[4]
Daniel M Fleder and Kartik Hosanagar. 2007. Recommender systems and their impact on sales diversity. In Proceedings of the 8th ACM conference on Electronic commerce. ACM, 192--199.
[5]
Naieme Hazrati, Mehdi Elahi, and Francesco Ricci. 2019. Analysing Recommender Systems Impact on Users' Choices. The 1stWorkshop on the Impact of Recommender Systems with ACM RecSys 2019 (2019).
[6]
Christian Matt, Thomas Hess, and Christian Weiß. 2013. The differences between recommender technologies in their impact on sales diversity. aisel.aisnet.org (2013).
[7]
Francesco Ricci, Lior Rokach, and Bracha Shapira. 2015. Recommender systems: introduction and challenges. In Recommender systems handbook. Springer, 1--34.
[8]
Zoltán Szlávik, Wojtek Kowalczyk, and Martijn Schut. 2011. Diversity measurement of recommender systems under different user choice models. In Fifth International AAAI Conference on Weblogs and Social Media.

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    cover image ACM Conferences
    IUI '20 Companion: Companion Proceedings of the 25th International Conference on Intelligent User Interfaces
    March 2020
    153 pages
    ISBN:9781450375139
    DOI:10.1145/3379336
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 17 March 2020

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    Author Tags

    1. impact of RSs
    2. recommender systems
    3. user choice behaviour

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