• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
Spotting Trends: The Wisdom of the Few
 

Spotting Trends: The Wisdom of the Few

on

  • 1,662 views

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

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

Statistics

Views

Total Views
1,662
Views on SlideShare
1,285
Embed Views
377

Actions

Likes
0
Downloads
11
Comments
0

6 Embeds 377

http://www.cl.cam.ac.uk 224
http://profzero.org 100
https://twitter.com 43
http://researchswinger.org 5
http://www0.cs.ucl.ac.uk 4
http://tweetedtimes.com 1

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

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

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