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Real-Time Web SearchThe Road Ahead Sep. 2009 Jonghun Park jonghun@snu.ac.kr Seoul National Univ.
going real-time
what is real-time search?  small delay between data creation & indexing  microblog search search in a small time window search against current hot queries status search
controversial examples  1 year old photo just uploaded first report on Michael Jackson’s death real-time monitoring “IRS” query on Apr. 14th “At work...wish I was home..love my family”
real-time search, redefined  RetrievingInformation with Time Value at Right Time sports game scores stock prices celebrity updates new products deals home pages wikipedia pages recipes old news articles regulations
opportunity “what’s going on right now?” $92B market
underlying technologies pull ,[object Object]
 Atom
 ping
 SUP
 API
 information extraction
 crawlingpush ,[object Object]
PubSubHubBub
 tornado
 comet
 Six Apart Update Stream,[object Object]
not so informative
lots of dittos and spams
danger of drowning

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Real-Time Web Search: The Road Ahead

  • 1. Real-Time Web SearchThe Road Ahead Sep. 2009 Jonghun Park jonghun@snu.ac.kr Seoul National Univ.
  • 3. what is real-time search? small delay between data creation & indexing microblog search search in a small time window search against current hot queries status search
  • 4. controversial examples 1 year old photo just uploaded first report on Michael Jackson’s death real-time monitoring “IRS” query on Apr. 14th “At work...wish I was home..love my family”
  • 5. real-time search, redefined RetrievingInformation with Time Value at Right Time sports game scores stock prices celebrity updates new products deals home pages wikipedia pages recipes old news articles regulations
  • 6. opportunity “what’s going on right now?” $92B market
  • 7.
  • 13.
  • 17.
  • 19. lots of dittos and spams
  • 21. coverage of microblogs twitter: 23M+ monthly UV (compete.com) only 5% of twitter users accounts for 75% of all activity one quarter of all tweets are generated by bots twitter users are biased in terms of demographics
  • 22. lack of quality quality assessment through identifying most popular, most authoritative, most linked-to, or most re-tweeted items such kind of filtering will require further processing that will decrease the freshness of information balancing the tension among recency, relevance, and quality is not an easy problem
  • 23. what’s desired measuring the quality of streaming sources instead of posts broader coverage microblogs, blogs, public media, social media, and various casts beyond the simple buzz monitoring tool topic focused, informative search results faster information discovery balancing users' needs to see results in real-time with necessity to discover information from spam-free, quality sources
  • 25. feedmil approach popularity
  • 26. key characteristics well known surprising
  • 28. what’s next: from pull web to push web real-location real-event information filtering personalization intelligent stream discovery more breakthroughs in stream publishing & consumption
  • 29. Thank You coming soon in oct. 2009

Editor's Notes

  1. polling the opinions
  2. use quality sources instead of computing quality at run-time
  3. information overload
  4. information overloading problem