IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v20y2018i6d10.1007_s10796-017-9800-0.html
   My bibliography  Save this article

Personality, User Preferences and Behavior in Recommender systems

Author

Listed:
  • Raghav Pavan Karumur

    (University of Minnesota)

  • Tien T. Nguyen

    (University of Minnesota)

  • Joseph A. Konstan

    (University of Minnesota)

Abstract

This paper reports on a study of 1840 users of the MovieLens recommender system with identified Big-5 personality types. Based on prior literature that suggests that personality type is a stable predictor of user preferences and behavior, we examine factors of user retention and engagement, content preferences, and rating patterns to identify recommender-system related behaviors and preferences that correlate with user personality. We find that personality traits correlate significantly with behaviors and preferences such as newcomer retention, intensity of engagement, activity types, item categories, consumption versus contribution, and rating patterns.

Suggested Citation

  • Raghav Pavan Karumur & Tien T. Nguyen & Joseph A. Konstan, 2018. "Personality, User Preferences and Behavior in Recommender systems," Information Systems Frontiers, Springer, vol. 20(6), pages 1241-1265, December.
    • Handle: RePEc:spr:infosf:v:20:y:2018:i:6:d:10.1007_s10796-017-9800-0
    DOI: 10.1007/s10796-017-9800-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-017-9800-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-017-9800-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wenge Rong & Baolin Peng & Yuanxin Ouyang & Kecheng Liu & Zhang Xiong, 2015. "Collaborative personal profiling for web service ranking and recommendation," Information Systems Frontiers, Springer, vol. 17(6), pages 1265-1282, December.
    2. Cobb-Clark, Deborah A. & Schurer, Stefanie, 2012. "The stability of big-five personality traits," Economics Letters, Elsevier, vol. 115(1), pages 11-15.
    3. Vinodh Krishnaraju & Saji K Mathew & Vijayan Sugumaran, 2016. "Web personalization for user acceptance of technology: An empirical investigation of E-government services," Information Systems Frontiers, Springer, vol. 18(3), pages 579-595, June.
    4. Xiangbin Yan & Jing Wang & Michael Chau, 2015. "Customer revisit intention to restaurants: Evidence from online reviews," Information Systems Frontiers, Springer, vol. 17(3), pages 645-657, June.
    5. Brian S. Butler, 2001. "Membership Size, Communication Activity, and Sustainability: A Resource-Based Model of Online Social Structures," Information Systems Research, INFORMS, vol. 12(4), pages 346-362, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ludovico Boratto & Salvatore Carta & Andreas Kaltenbrunner & Matteo Manca, 2018. "Guest Editorial: Behavioral-Data Mining in Information Systems and the Big Data Era," Information Systems Frontiers, Springer, vol. 20(6), pages 1153-1156, December.
    2. Muh‐Chyun Tang & I‐Han Liao, 2022. "Preference diversity and openness to novelty: Scales construction from the perspective of movie recommendation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(9), pages 1222-1235, September.
    3. Srivastava, Abhishek & Bala, Pradip Kumar & Kumar, Bipul, 2020. "New perspectives on gray sheep behavior in E-commerce recommendations," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    4. Supavich Fone Pengnate & Rathindra Sarathy & Todd J. Arnold, 2021. "The Influence of the Centrality of Visual Website Aesthetics on Online User Responses: Measure Development and Empirical Investigation," Information Systems Frontiers, Springer, vol. 23(2), pages 435-452, April.
    5. Anastasia Griva & Cleopatra Bardaki & Katerina Pramatari & Georgios Doukidis, 2022. "Factors Affecting Customer Analytics: Evidence from Three Retail Cases," Information Systems Frontiers, Springer, vol. 24(2), pages 493-516, April.
    6. Bernd Heinrich & Marcus Hopf & Daniel Lohninger & Alexander Schiller & Michael Szubartowicz, 2022. "Something’s Missing? A Procedure for Extending Item Content Data Sets in the Context of Recommender Systems," Information Systems Frontiers, Springer, vol. 24(1), pages 267-286, February.
    7. Mohammad Alamgir Hossain & Shams Rahman, 2021. "Investigating the Success of OGB in China: The Influence of Personality Traits," Information Systems Frontiers, Springer, vol. 23(3), pages 543-559, June.

    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. Charlotte Cabane & Adrian Hille & Michael Lechner, 2015. "Mozart or Pelé? The Effects of Teenagers' Participation in Music and Sports," SOEPpapers on Multidisciplinary Panel Data Research 749, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Proto, Eugenio & Rustichini, Aldo, 2012. "Life Satisfaction, Household Income and Personality Traits," CAGE Online Working Paper Series 86, Competitive Advantage in the Global Economy (CAGE).
    3. Marco Caliendo & Frank M. Fossen & Alexander Kritikos & Miriam Wetter, 2015. "The Gender Gap in Entrepreneurship: Not just a Matter of Personality," CESifo Economic Studies, CESifo Group, vol. 61(1), pages 202-238.
    4. Venugopal Gopalakrishna-Remani & Robert Paul Jones & Kerri M. Camp, 2019. "Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation," Information Systems Frontiers, Springer, vol. 21(6), pages 1325-1344, December.
    5. Lawrence Bunnell & Kweku-Muata Osei-Bryson & Victoria Y. Yoon, 0. "RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers," Information Systems Frontiers, Springer, vol. 0, pages 1-42.
    6. Mia M. Vainio & Daiva Daukantaitė, 2016. "Grit and Different Aspects of Well-Being: Direct and Indirect Relationships via Sense of Coherence and Authenticity," Journal of Happiness Studies, Springer, vol. 17(5), pages 2119-2147, October.
    7. David, Paul A. & Shapiro, Joseph S., 2008. "Community-based production of open-source software: What do we know about the developers who participate?," Information Economics and Policy, Elsevier, vol. 20(4), pages 364-398, December.
    8. Liuan Wang & Lu (Lucy) Yan & Tongxin Zhou & Xitong Guo & Gregory R. Heim, 2020. "Understanding Physicians’ Online-Offline Behavior Dynamics: An Empirical Study," Information Systems Research, INFORMS, vol. 31(2), pages 537-555, June.
    9. Susan J. Méndez & Jongsay Yong & Hugh Gravelle & Anthony Scott, 2024. "Medical pricing decisions: Evidence from Australian specialists," Melbourne Institute Working Paper Series wp2024n11, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    10. Mahesh Balan U & Saji K. Mathew, 2021. "Personalize, Summarize or Let them Read? A Study on Online Word of Mouth Strategies and Consumer Decision Process," Information Systems Frontiers, Springer, vol. 23(3), pages 627-647, June.
    11. Alderotti, Giammarco & Rapallini, Chiara & Traverso, Silvio, 2023. "The Big Five personality traits and earnings: A meta-analysis," Journal of Economic Psychology, Elsevier, vol. 94(C).
    12. Alpaslan Akay & Amelie Constant & Corrado Giulietti & Martin Guzi, 2017. "Ethnic diversity and well-being," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(1), pages 265-306, January.
    13. Hanel, Barbara & Kalb, Guyonne & Scott, Anthony, 2014. "Nurses’ labour supply elasticities: The importance of accounting for extensive margins," Journal of Health Economics, Elsevier, vol. 33(C), pages 94-112.
    14. Budría, Santiago & Ferrer-i-Carbonell, Ada, 2012. "Income Comparisons and Non-Cognitive Skills," IZA Discussion Papers 6419, Institute of Labor Economics (IZA).
    15. Alpaslan Akay & Olivier Bargain & Klaus F. Zimmermann, 2017. "Home Sweet Home?: Macroeconomic Conditions in Home Countries and the Well-Being of Migrants," Journal of Human Resources, University of Wisconsin Press, vol. 52(2), pages 351-373.
    16. Goerke, Laszlo & Pannenberg, Markus, 2015. "Direct evidence for income comparisons and subjective well-being across reference groups," Economics Letters, Elsevier, vol. 137(C), pages 95-101.
    17. Jintang Wang & Junyun Liao & Shiyong Zheng & Biqing Li, 2019. "Examining Drivers of Brand Community Engagement: The Moderation of Product, Brand and Consumer Characteristics," Sustainability, MDPI, vol. 11(17), pages 1-16, August.
    18. Gerald C. Kane & Jeremiah Johnson & Ann Majchrzak, 2014. "Emergent Life Cycle: The Tension Between Knowledge Change and Knowledge Retention in Open Online Coproduction Communities," Management Science, INFORMS, vol. 60(12), pages 3026-3048, December.
    19. Stefanie Schurer & Daniel Kuehnle & Anthony Scott & Terence C. Cheng, 2016. "A Man's Blessing or a Woman's Curse? The Family Earnings Gap of Doctors," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 55(3), pages 385-414, July.
    20. Max Deter, 2020. "Prosociality and Risk Preferences in the Financial Sector," SOEPpapers on Multidisciplinary Panel Data Research 1075, DIW Berlin, The German Socio-Economic Panel (SOEP).

    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:spr:infosf:v:20:y:2018:i:6:d:10.1007_s10796-017-9800-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.