Karen Church - A Large-Scale Study of European Mobile Information Access

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    Karen Church - A Large-Scale Study of European Mobile Information Access - Presentation Transcript

    1. A Large-Scale Study of European Mobile Information Access Karen Church Adaptive Information Cluster University College Dublin WebCamp on the Emerging Mobile Internet 17 th May 2007
    2. Our Goal
      • To understand the information access behaviours of mobile users
      • Our first study was carried out last year
        • Are their parallels between emerging mobile search and early Web search?
        • We found some similarities, however we also found some significant differences 
      • Nearing the end of a second study
        • Has the Mobile Internet evolved?
    3. Outline
      • Motivations behind our work
      • Briefly discuss first mobile study
      • Describe current mobile study
      • Present key findings
      • Has the Mobile Internet evolved?
      • Conclusions
    4. Motivations
      • Mobile world is growing rapidly
        • > 2.5 billion subscribers in 2006
        • 28% of subscribers have browsed the Internet via mobile phone (Ipsos Insight)
      • Browsing dominates the Mobile Internet
      • However, search activity is increasing
        • 31% of users searched for 1 st time in 2006 (Mobile Marketing Association)
        • Search will play a more crucial role as users begin to explore off-portal content
      • However, very little is understood about mobile subscribers and how they access information
    5. Mobile Study 1
      • Data from 2005
      • Major European mobile operator
      • > 30 million requests
      • > 600,000 users
      • Single day in 2005
      • 1.1 million sessions
        • 94% browsing, 6% search
      • 400,000 search queries
    6. Results - Mobile Study (2005)
      • Browsing is dominant but search is richer
        • Duration, bytes downloaded, requests
      • Access devices are sophisticated
        • Large screens, XHTML support, color interfaces
      • Google is most popular search engine
        • 76% of queries
      • Search patterns
        • Avg query length = 2.06, Google = 2.25
        • Lots of modifications to queries
        • Adult content is most popular query category
    7. Mobile Search vs. Early Web Search
      • Similarities:
        • Query length (2.06 vs. 2.35)
        • Use of advanced search features (3% vs. 5-10%)
        • Niche interest areas (Adult content)
      • Differences:
        • Searches per session (8.7 vs. 4.9)
        • Unique queries (22% vs. 52-57%)
        • Repeat Queries (76% vs. 39-43%)
        • Higher rate of query modification in mobile space
    8. Mobile Study 2
      • Early 2006
      • Major European mobile operator
      • Single week (full 7 days)
      • > 290 million requests
      • Almost 10 million sessions
      • 2.6 million unique users
      • > 5 million queries
      • Approx. 5 months between the two datasets
    9. Session Analysis
      • Number of sessions and users has increased significantly
      • Breakdown of search sessions vs. browsing sessions has remained the same
      • Session duration has also remained similar to previous study
      • Bytes downloaded during searches has increased
    10. Number of Sessions
      • The number of sessions has risen from approx 1.1 million to 1.4 million per day (on average)
    11. Number of Users
      • The number of users has risen from approx. 600K to 745K per day (on average)
    12. How popular is search?
      • The percentage of search vs. browsing sessions has remained similar
      • Browsing remains dominant on Mobile Internet
      7% 93%
    13. How many users search?
      • The percentage of users who search vs. users who only browse for information has remained static
      8% 92%
    14. How long do people spend online?
      • On average users spends 3 times as long searching than they do when browsing
      13 m 59 s
    15. How rich are sessions (bytes downloaded)?
      • On average users download 5 times as much content than they do when browsing
      322 Kb 270 Kb First Study
    16. Search Engine Analysis
      • Breakdown of queries by search engine
      • > 30 different mobile search engines
      • Google still dominates Mobile Search
      • Use of operator-specific search has decreased
      • Use of mobile-specific search has decreased
    17. Search Engine Popularity 0.1 0.03 Misc (Includes: image and ringtone search) 7 0.4 0.19 Other Major Search Engines (Includes: AskJeeves, AllTheWeb, MSN, AOL, etc) 6 1.6 0.82 Wap Search Engines/Directories (Includes: TagTag, Click4Wap, Mooobl, Ithaki, etc.) 5 1.6 1.77 eCommerce Search 4 5.7 3.61 Yahoo 3 14.4 8.66 Operator-Specific Search 2 76.2 84.91 Google 1 2005 % Queries 2006 % Queries Search Engine No
    18. Query Analysis
      • Search on mobiles is growing!
        • The number of queries per day has doubled (on average) in the 5 month period
      • Query length has increased
      • Use of advanced search features decreased
      •  Showing signs of evolution
    19. Number of Queries
      • The number of queries per day has doubled!
    20. Number of Unique Queries
      • When we examine unique queries, the number has increased significantly
    21. Query Length
      • 2.15 terms per query on average
      • Up from 2.06 terms per query in Mobile 2005
      • Google queries are longer in length
        • 2.22 terms (2005)
        • 2.26 terms (2006)
    22. Advanced Search Features
      • This figure is down from 3.04% in the Mobile 2005 study.
      2.847315   24571 Total 0.284902 862953.3 2458.571 & 0.040774 862953.3 351.8571 () 0.22082 862953.3 1905.571 " " 1.362216 862953.3 11755.29 - 0.241 862953.3 2079.714 + 0.000364 862953.3 3.142857 NOT/AND NOT 0.049514 862953.3 427.2857 OR/Or/or 0.766322 862953.3 6613 AND/And/and % Totals Freq Use of Advanced Features
    23. Queries per Session
      • The number of queries per session has increased from 5.8 to 8.6
      5.8 8.6
    24. Queries per User
      • The average number of queries per user has increased significantly from 8.7 to 13.6
      8.7 13.6
    25. What do mobile users search for?
    26. Future Work
      • Query modifications & query similarity
      • Device analysis
      • Result-page analysis
        • Avg. position of results clicked
        • Avg num of results clicked
        • Avg num result pages viewed
      • Temporal analyses
        • Time of day, day of week, etc.
    27. Conclusions
      • The Mobile Internet is evolving fast
      • In 5 month period, mobile search is showing signs of significant change
      • More users, more sessions
      • Search is evolving
        • Queries are longer
        • More queries per user
        • More queries per session
        • Changes in topics  User Generated Content
      • Thank You
      • Questions/Comments?
      • Karen Church
      • [email_address]
      • Phone: +353 7165355

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