Google Yourself! Measuring the Performance of Personalized Information Resources (AoIR 2008)

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    Google Yourself! Measuring the Performance of Personalized Information Resources (AoIR 2008) - Presentation Transcript

    1. Yourself! Measuring the Performance of Personalized Information Resources
    2. Google Yourself! Measuring the Performance of personalized Information Resources
      • Exponential growth of social media applications on the Web
      • People started publishing personal information about themselves on the Web
      • People started actively monitoring and shaping their online image
      • Started tracking personal and related information via search engines
    3. Google Yourself! Defined
      • Theory of narcissism can be used to explain the phenomenon
      • Distinguishing between a clinical and a cultural narcissism
      • Cultural narcissism is based on the hypothesis that narcistic behaviour is a highly common personality characteristic found in all modern society
      • Raskin et al. found evidence that narcistic behaviour has increased by more than 30 percent between 1982 and 2006
    4. Google Yourself! Defined
      • Self-googling can be defined as a self-focused concentration of the attention of an individual to themself by actively monitoring and shaping their persona and perception online
    5. Google Yourself! Research Questions
      • (1) To what extend is the self-googling visible in the usage of search engines?
      • (2) Is any significant difference measurable between queries related to self-googling, and generic search queries?
      • (3) To what extend do self-googling search requests match the selected personalised web pages?
    6. Google Yourself! Research Methodology
      • Analysis of search engine usage by online users
      • 2.46 million search engine requests extracted from a set of 100 million log file entries
      • Time period of 14 months
      • In-depth analysis of the search terms used and search results clicked on
    7. Google Yourself! Research Methodology
      • Analysis of search and click-through trends for (I) personalised information resources and (II) non-personalised information resources
      measurement Sergey Brin
    8. Google Yourself! Research Methodology
      • Creation of 7 million personalised web pages and 20 million non-personalised web pages
      • Web pages indexed by Google search engine
      • Analysis of search engine referrer from Google
    9. Google Yourself! Personalized Web Page
    10. Google Yourself! Non-Personalized Web Page
    11. Google Yourself! Personalised Web Pages
    12. Google Yourself! Non-Personalised Web Pages
    13. Google Yourself! Non-Personalised vs. Personalised
    14. Google Yourself! Search Term Similarity for personalised URIs
    15. Google Yourself! Research Results
      • Correlation in the quality of matches between personalised search queries and selected hyperlinks (URI paths)
      • More than 0.3 million referrals show matching score of 100 percent, out of 1.66 million search engine referrals for personalised web pages
      • Very high quality of interaction with personalised web pages
      • Average of everyday search queries provides an equivalent quality score of 64.74 percent
    16. Google Yourself! Limitations
      • Problem to separate between people-googling and self-googling requests using our methodology
      • Only a combination of quantitative and qualitative approaches can reliably separate these two types
    17. Google Yourself! Conclusion
      • Personalised web pages are twice as popular as generic web pages and still growing
      • Rise of narcissism as a cultural entity in society may explain in part the evolution of social media services, and vice versa
      • Some evidence that a growing narcissism, related to the rise of social media, is visible in the self-googling phenomenon
      • WWW is transforming itself from a web of documents and hyperlinks into a web of social relationships
    18. Google Yourself!
      • Questions?

    + Axel BrunsAxel Bruns, 2 years ago

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