IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v512y2018icp86-95.html
   My bibliography  Save this article

Quantifying users’ selection behavior in online commercial systems

Author

Listed:
  • Wang, Xi
  • Li, Heyang
  • Zeng, An

Abstract

In order to uncover the online user behavior patterns, this study uses massive data from online movie rental websites as an example to explore users’ behavior characteristics of watching movies and puts forward a search model to fit users’ viewing mode. We use complex network tools to construct and analyze the movie space. Three main conclusions are drawn. First, the average similarity between two movies a user consecutively watched is high if this user has low activity. Second, movie stickiness increases as movie popularity increases. Third, two consecutively watched movies will not be similar if these two movies are viewed at relatively long time interval. Comparing the movie space with the product space studied by Hidalgo et al. in 2007, we find that similarity is the most important factor in both networks, but jumping behaviors which do not apply to the product space exist in the movie space. Based on the above analysis, we propose a model to simulate users’ behaviors of watching movies and obtain the model parameters that best fit the real data. This model reveals users’ viewing mode hidden in the data. The search model may help movie websites to recommend movies for users precisely and bring commercial benefits. It is also of great significance in film promotion and development.

Suggested Citation

  • Wang, Xi & Li, Heyang & Zeng, An, 2018. "Quantifying users’ selection behavior in online commercial systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 86-95.
  • Handle: RePEc:eee:phsmap:v:512:y:2018:i:c:p:86-95
    DOI: 10.1016/j.physa.2018.08.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437118309580
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2018.08.014?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. Ricardo J. Caballero & Adam B. Jaffe, 1993. "How High Are the Giants' Shoulders: An Empirical Assessment of Knowledge Spillovers and Creative Destruction in a Model of Economic Growth," NBER Chapters, in: NBER Macroeconomics Annual 1993, Volume 8, pages 15-86, National Bureau of Economic Research, Inc.
    2. Chaoming Song & Shlomo Havlin & Hernán A. Makse, 2005. "Self-similarity of complex networks," Nature, Nature, vol. 433(7024), pages 392-395, January.
    3. Duncan J. Watts, 2007. "A twenty-first century science," Nature, Nature, vol. 445(7127), pages 489-489, February.
    4. Tao Zhou & Linyuan Lü & Yi-Cheng Zhang, 2009. "Predicting missing links via local information," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 623-630, October.
    5. An Zeng & Stanislao Gualdi & Matúš Medo & Yi-Cheng Zhang, 2013. "Trend Prediction In Temporal Bipartite Networks: The Case Of Movielens, Netflix, And Digg," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(04n05), pages 1-15.
    6. C. A. Hidalgo & B. Klinger & A. -L. Barabasi & R. Hausmann, 2007. "The Product Space Conditions the Development of Nations," Papers 0708.2090, arXiv.org.
    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. Li, Heyang & Zeng, An, 2022. "Improving recommendation by connecting user behavior in temporal and topological dimensions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).

    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. Li, Heyang & Zeng, An, 2022. "Improving recommendation by connecting user behavior in temporal and topological dimensions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    2. Idsardi, E.F. & Schalkwyk, H.D. & Viviers, W., 2015. "The Agricultural Product Space: Prospects for South Africa," 2015 Conference, August 9-14, 2015, Milan, Italy 211752, International Association of Agricultural Economists.
    3. Yin, Likang & Deng, Yong, 2018. "Measuring transferring similarity via local information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 498(C), pages 102-115.
    4. Hao Liao & Xiao-Min Huang & Xing-Tong Wu & Ming-Kai Liu & Alexandre Vidmer & Mingyang Zhou & Yi-Cheng Zhang, 2019. "Enhancing countries' fitness with recommender systems on the international trade network," Papers 1904.02412, arXiv.org.
    5. Yu, Fei & Zeng, An & Gillard, Sébastien & Medo, Matúš, 2016. "Network-based recommendation algorithms: A review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 192-208.
    6. Tiziano Squartini & Guido Caldarelli & Giulio Cimini & Andrea Gabrielli & Diego Garlaschelli, 2018. "Reconstruction methods for networks: the case of economic and financial systems," Papers 1806.06941, arXiv.org.
    7. Guo, Fangjian & Yang, Zimo & Zhou, Tao, 2013. "Predicting link directions via a recursive subgraph-based ranking," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(16), pages 3402-3408.
    8. Hao Liao & Xiao-Min Huang & Xing-Tong Wu & Ming-Kai Liu & Alexandre Vidmer & Ming-Yang Zhou & Yi-Cheng Zhang, 2018. "Enhancing Countries’ Fitness with Recommender Systems on the International Trade Network," Complexity, Hindawi, vol. 2018, pages 1-12, October.
    9. Marcel Bednarz & Tom Broekel, 2020. "Pulled or pushed? The spatial diffusion of wind energy between local demand and supply," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(4), pages 893-916.
    10. Wifo, 2021. "WIFO-Monatsberichte, Heft 11/2021," WIFO Monatsberichte (monthly reports), WIFO, vol. 94(11), November.
    11. Mikhail Y. Afanasyev & Alexander V. Kudrov, 2021. "Economic Complexity, Embedding Degree and Adjacent Diversity of the Regional Economies," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 17(2), pages 7-22.
    12. Matthias Firgo & Fabian Gabelberger & Andreas Reinstaller & Yvonne Wolfmayr, 2024. "Assessing Regional Production Potential to Strengthen the Security of Supply in Strategic Products," WIFO Working Papers 670, WIFO.
    13. Edurne Magro Montero & Mari Jose Aranguren & Mikel Navarro, 2011. "Smart Specialisation Strategies: The Case of the Basque Country," Working Papers 2011R07, Orkestra - Basque Institute of Competitiveness.
    14. Matthijs J. Janssen, 2015. "Cross-specialization: A New Perspective on Industry Policy," Papers in Evolutionary Economic Geography (PEEG) 1519, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2015.
    15. Jacob Rubæk Holm & Christian Richter Østergaard, 2018. "The high importance of de-industrialization and job polarization for regional diversification," Papers in Evolutionary Economic Geography (PEEG) 1821, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised May 2018.
    16. Colin Wessendorf & Alexander Kopka & Dirk Fornahl, 2021. "The impact of the six European Key Enabling Technologies (KETs) on regional knowledge creation," Papers in Evolutionary Economic Geography (PEEG) 2127, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2021.
    17. Bahar, Dany & Rosenow, Samuel & Stein, Ernesto & Wagner, Rodrigo, 2019. "Export take-offs and acceleration: Unpacking cross-sector linkages in the evolution of comparative advantage," World Development, Elsevier, vol. 117(C), pages 48-60.
    18. Jonas Heiberg & Bernhard Truffer, 2021. "The emergence of a global innovation system – a case study from the water sector," GEIST - Geography of Innovation and Sustainability Transitions 2021(09), GEIST Working Paper Series.
    19. Xu, Hai-Chuan & Wang, Zhi-Yuan & Jawadi, Fredj & Zhou, Wei-Xing, 2023. "Reconstruction of international energy trade networks with given marginal data: A comparative analysis," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    20. Richard E. Baldwin & Philippe Martin & Gianmarco I. P. Ottaviano, 2021. "Global Income Divergence, Trade, and Industrialization: The Geography of Growth Take-Offs," World Scientific Book Chapters, in: Firms and Workers in a Globalized World Larger Markets, Tougher Competition, chapter 2, pages 25-57, World Scientific Publishing Co. Pte. Ltd..

    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:eee:phsmap:v:512:y:2018:i:c:p:86-95. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.