• DocumentCode
    659430
  • Title

    Measuring inter-site engagement

  • Author

    Yom-Tov, Elad ; Lalmas, Mounia ; Baeza-Yates, R. ; Dupret, Georges ; Lehmann, Jos ; Donmez, Pinar

  • fYear
    2013
  • fDate
    6-9 Oct. 2013
  • Firstpage
    228
  • Lastpage
    236
  • Abstract
    Many large online providers offer a variety of content sites (e.g. news, sport, e-commerce). These providers endeavor to keep users accessing and interacting with their sites, that is to engage users by spending time using their sites and to return regularly to them. They do so by serving users the most relevant content in an attractive and enticing manner. Due to their highly varied content, each site is usually studied and optimized separately. However, these online providers aim not only to engage users with individual sites, but across all sites in their network. In these cases, site engagement should be examined not only within individual sites, but also across the entire content provider network. This paper investigates intersite engagement, that is, site engagement within a network of sites, by defining a global measure of engagement that captures the effect sites have on the engagement on other sites. As an application, we look at the effect of web page layout and structure, which we refer to as web page stylistics, on intersite engagement on Yahoo! properties. Through the analysis of 50 popular Yahoo! sites and a sample of 265,000 users and 19.4M online sessions, we demonstrate that the stylistic components of a web page on a site can be used to predict inter-site engagement across the Yahoo! network of sites. Intersite engagement is a new big data problem as overall it implies analyzing dozen of sites visited by hundreds of millions of people generating billions of sessions.
  • Keywords
    Big Data; Web sites; information analysis; Web page layout; Web page stylistics; Yahoo; big data; content provider network; content sites; intersite engagement measurement; online providers; HTML; Internet; Layout; Navigation; Silicon; Time measurement; Web pages; downstream engagement; inter-site engagement; page layout and structure; predicting engagement; stylistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data, 2013 IEEE International Conference on
  • Conference_Location
    Silicon Valley, CA
  • Type

    conf

  • DOI
    10.1109/BigData.2013.6691579
  • Filename
    6691579