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Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
Insight demo
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Insight demo

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Published in: Technology, News & Politics
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Transcript

  • 1. TwiNews: Detect local user interests in Twitter to re- rank news Xin Shuai Tuesday, October 8, 2013
  • 2. Tuesday, October 8, 2013
  • 3. Tuesday, October 8, 2013
  • 4. Top ranked news may not satisfy all users from different geographical locations! Tuesday, October 8, 2013
  • 5. Not relevant to China! Tuesday, October 8, 2013
  • 6. Word Closeness Local User Interests Tuesday, October 8, 2013
  • 7. How to detect the local user interests given a news query? Tuesday, October 8, 2013
  • 8. How to detect the local user interests given a news query? Tuesday, October 8, 2013
  • 9. Tuesday, October 8, 2013
  • 10. Tuesday, October 8, 2013
  • 11. Can we provide localized news ranking for users by leveraging geographical tweets? Tuesday, October 8, 2013
  • 12. Tuesday, October 8, 2013
  • 13. LDA topic model topic 1 technology: mobile iphone facebook topic 2 economy: market stock investor Tuesday, October 8, 2013
  • 14. LDA topic model topic 1 technology: mobile iphone facebook topic 2 economy: market stock investor tweet 1 tweet 2 tweet n topic 1 topic 2 Tuesday, October 8, 2013
  • 15. LDA topic model topic 1 technology: mobile iphone facebook topic 2 economy: market stock investor tweet 1 tweet 2 tweet n topic 1 topic 2 local topical distribution + + + technology (topic 1) Tuesday, October 8, 2013
  • 16. LDA topic model topic 1 technology: mobile iphone facebook topic 2 economy: market stock investor tweet 1 tweet 2 tweet n topic 1 topic 2 local topical distribution + + + technology (topic 1) Tuesday, October 8, 2013
  • 17. LDA topic model topic 1 technology: mobile iphone facebook topic 2 economy: market stock investor tweet 1 tweet 2 tweet n topic 1 topic 2 news 1 news 2 news 3 technology (topic 1) local topical distribution + + + technology (topic 1) Tuesday, October 8, 2013
  • 18. LDA topic model topic 1 technology: mobile iphone facebook topic 2 economy: market stock investor tweet 1 tweet 2 tweet n topic 1 topic 2 news 1 news 2 news 3 technology (topic 1) local topical distribution + + + technology (topic 1) cosine similarity cosine similarity cosine similarity Tuesday, October 8, 2013
  • 19. A/B Testing TwiNews 30 queries, 2 weeks 100 turkers from CA & NY +3% +7% t-test: p < 0.05 A B Tuesday, October 8, 2013
  • 20. GibbsLDA++ Tuesday, October 8, 2013
  • 21. localized news ranking localized user interests from Twitter Tuesday, October 8, 2013
  • 22. localized news ranking localized targeted advertising localized user interests from Twitter Tuesday, October 8, 2013
  • 23. localized news ranking localized targeted advertising localized deal recommendation localized user interests from Twitter Tuesday, October 8, 2013
  • 24. localized news ranking localized targeted advertising localized deal recommendation localized user interests from Twitter localized music/movie recommendation Tuesday, October 8, 2013
  • 25. Xin Shuai Tuesday, October 8, 2013
  • 26. LDA topic modeling LDA (Latent Dirichlet Allocation) Tuesday, October 8, 2013
  • 27. LDA topic modeling LDA (Latent Dirichlet Allocation) topic 1: mobile iphone facebook ipad topic 2: market stock index investor topic 3: .... .... .... Tuesday, October 8, 2013
  • 28. Amazon Mechanical Turk Price: eleven cents/HITS Total Cost: over 200 dollars Tuesday, October 8, 2013
  • 29. Tuesday, October 8, 2013
  • 30. Tuesday, October 8, 2013
  • 31. Tuesday, October 8, 2013
  • 32. Tuesday, October 8, 2013

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