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Search To Social Search
       Danny Sullivan
             Editor-In-Chief
        Search Engine Land
      http://searchengineland.com
1st Gen: “On The Page”
 Search engines “crawl” links to pages
 They make copies of pages they find and
  store in a book-like “index”
 They find pages using words you
  searched for
 The location and frequency of words
  influences which ranks tops
1st Gen Spamming
                   Want to be
                   tops? “Stuff” a
                   bunch of
                   keywords into
                   your web page
1st Gen Spamming
1st Gen Spamming
1st Gen Spamming
2nd Gen: “Off The Page”
 Use factors off the page that webmasters
  can’t manipulate (so easily)
 Clickthrough
 Links: “democratic nature of the web”
   AKA PageRank though PageRank is
    importance of links
   Other key factor is anchor text, actual words
    in the links
2nd Gen Issues
                 People begin
                 overtly
                 manipulating
                 links – thinking
                 about votes,
                 campaigning
                 for votes and
                 even buying
                 votes…
3rd Gen ???
 “Vertical” search
   Focus on a particular topic, such as news
 Personalized & Social Search
   Reshaping results based on…
   What you personally do or visit
   What others you know do or visit
   What people in aggregate do or visit
Google Personalized Search
                    Results are
                    reordered
                    based on
                    what’s
                    deemed to be
                    your personal
                    preferences.
                    Pages move up,
                    down, in or out
                    of top 10
Personalization Influencers



 Google Personalized Home Page content
 Google Bookmarks
 Search History (Clicks)
 Web History (Visits)…
Search & Web History
Social Search
 Eurekster experimented with friend clicks
  reshaping results in 2004
 Yahoo My Web promised to let us tag and
  use a network to reshape results…
Yahoo My Web
Yahoo My Web
My Web & Old Search Features
Social Search Reality
 Neither really has succeeded
   The Promise & Reality Of Mixing The Social
    Graph With Search Engines
      http://searchengineland.com/070827-121805.php

   Eurekster says “swickis” much better
   Yahoo dropped many features quietly
 But what about Facebook?
Facebook & Search
 Social graph (ugh) / social network data is
  potentially useful
   Watch what others are searching on
   Monitor clicks in a more “trusted”
    environment
   Reshape results based on what you friends
    seem to like
   But who are your friends…
Future Facebook?




http://www.dumpfolder.net/?p=193
Facebook & Search
 Do you have to filter to “true” friends?
 Do you then still need to consider what
  you’ll share?
 Does Facebook instead work on aggregate
  level?
 And what’s the underlying platform?
  They’ll likely remain dependent on
  someone else…
Facebook & Search
 Go vertical? People search?
   Plenty in the space, Spock among them…
   http://searchengineland.com/lands/people-
    search.php
 Or events search
   Upcoming rival
 Others?
 Or discovery…
Search Versus Discovery
 Search is an on-demand, have particular
  need to fulfill activity
 Discovery is related but less specific in
  what you want
   StumbleUpon, Digg
   iGoogle related magic tabs
 Search Engine Land (http://searchengineland.com)
     Stories and news from me and others
 SearchCap (http://searchengineland.com/searchcap.php)
    Daily email recap of search news from SEL & across the web
 Daily SearchCast (http://dailysearchcast.com)
    Podcast where I recap the day’s search news
 Sphinn (http://sphinn.com)
    Social site for search marketers: share news stories, talk in
      forums, network and view upcoming events
 SMX: Search Marketing Expo (http://searchmarketingexpo.com)
    My conference series that focuses on search marketing topics,
      with shows ranging from advanced issues to local, along with
      country-specific and general events

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Search To Social Search, Danny Sullivan

  • 1. Search To Social Search Danny Sullivan Editor-In-Chief Search Engine Land http://searchengineland.com
  • 2. 1st Gen: “On The Page”  Search engines “crawl” links to pages  They make copies of pages they find and store in a book-like “index”  They find pages using words you searched for  The location and frequency of words influences which ranks tops
  • 3. 1st Gen Spamming Want to be tops? “Stuff” a bunch of keywords into your web page
  • 7. 2nd Gen: “Off The Page”  Use factors off the page that webmasters can’t manipulate (so easily)  Clickthrough  Links: “democratic nature of the web”  AKA PageRank though PageRank is importance of links  Other key factor is anchor text, actual words in the links
  • 8. 2nd Gen Issues People begin overtly manipulating links – thinking about votes, campaigning for votes and even buying votes…
  • 9. 3rd Gen ???  “Vertical” search  Focus on a particular topic, such as news  Personalized & Social Search  Reshaping results based on…  What you personally do or visit  What others you know do or visit  What people in aggregate do or visit
  • 10. Google Personalized Search Results are reordered based on what’s deemed to be your personal preferences. Pages move up, down, in or out of top 10
  • 11. Personalization Influencers  Google Personalized Home Page content  Google Bookmarks  Search History (Clicks)  Web History (Visits)…
  • 12. Search & Web History
  • 13. Social Search  Eurekster experimented with friend clicks reshaping results in 2004  Yahoo My Web promised to let us tag and use a network to reshape results…
  • 16. My Web & Old Search Features
  • 17. Social Search Reality  Neither really has succeeded  The Promise & Reality Of Mixing The Social Graph With Search Engines  http://searchengineland.com/070827-121805.php  Eurekster says “swickis” much better  Yahoo dropped many features quietly  But what about Facebook?
  • 18. Facebook & Search  Social graph (ugh) / social network data is potentially useful  Watch what others are searching on  Monitor clicks in a more “trusted” environment  Reshape results based on what you friends seem to like  But who are your friends…
  • 20. Facebook & Search  Do you have to filter to “true” friends?  Do you then still need to consider what you’ll share?  Does Facebook instead work on aggregate level?  And what’s the underlying platform? They’ll likely remain dependent on someone else…
  • 21. Facebook & Search  Go vertical? People search?  Plenty in the space, Spock among them…  http://searchengineland.com/lands/people- search.php  Or events search  Upcoming rival  Others?  Or discovery…
  • 22. Search Versus Discovery  Search is an on-demand, have particular need to fulfill activity  Discovery is related but less specific in what you want  StumbleUpon, Digg  iGoogle related magic tabs
  • 23.  Search Engine Land (http://searchengineland.com)  Stories and news from me and others  SearchCap (http://searchengineland.com/searchcap.php)  Daily email recap of search news from SEL & across the web  Daily SearchCast (http://dailysearchcast.com)  Podcast where I recap the day’s search news  Sphinn (http://sphinn.com)  Social site for search marketers: share news stories, talk in forums, network and view upcoming events  SMX: Search Marketing Expo (http://searchmarketingexpo.com)  My conference series that focuses on search marketing topics, with shows ranging from advanced issues to local, along with country-specific and general events