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Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
Spotting Trends: The Wisdom of the Few
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Spotting Trends: The Wisdom of the Few

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Spotting Trends: The Wisdom of the Few http://bit.ly/P58Bvj

Spotting Trends: The Wisdom of the Few http://bit.ly/P58Bvj

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  1. Spotting TrendsThe Wisdom of the Few Xiaolan Sha◦ Daniele Quercia✦ Pietro Michiardi• Matteo Dell’Amico•
  2. Our Work What are the trends one might be interested in?
  3. What Is a Trend Popular ≠Trending
  4. Who Create Trends }{Influentials Trend Makers ED (upload) BIN OM ESS A C OC PRAccidental Trend Spotters (vote)
  5. Our Context SP Te E CI c De hnol og AL sig n- y Co -Sav ns v cio y us
  6. Our ContextA core group of users are main content contributors. 9,316 users, 6,395 items and 21,252 votes
  7. Traditional item i p(u,i) = 1 if u likes i, otherwise 0 user u Items ALGORITHM Recommend Users Preference Matrix
  8. Our Approach Trend Spotters Recommend Identify Trends Trends Trend Makers User Space Item Space Trend-aware Recommendation
  9. A Special Few ? Features { ActivityTrend SpottersTrend Makers Content Social Network SVM User Space Geography
  10. A Special Few ? { if uploaders are trend makers of any qualityTrends Logistic Regression Item Space if voters are trend spotters - only of high quality
  11. Trend-aware trend i p(u,i) = 1 if u likes trend i user u SVD Recommend Trends Trends Trend Space Trend-aware Preference Matrix
  12. Our Approach Trend Spotters Recommend Identify Trends Trends Trend Makers User Space Item Space Trend-aware Recommendation
  13. Baseline item i p(u,i) = 1 if u likes i and item i is a trend, otherwise 0 user u Items ALGORITHM Recommend Users Preference Matrix
  14. Evaluation Recall(N) = #hits / |T| Precision(N) = #hits / (N * |T|)
  15. SummaryPopular ≠ TrendsTrend Spotters & Makers Exist ! Identify them improve therecommendation.
  16. Spotting Trends: The Wisdom of the Few Xiaolan Sha, Daniele Quercia, Pietro Michiardi, Matteo Dell’Amico Thank You!

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