With a Little Help from My Friends: Personalization via Friendsourcing
description
Transcript of With a Little Help from My Friends: Personalization via Friendsourcing
With a Little Help from My Friends:Personalization via Friendsourcing
Michael BernsteinMIT CSAIL
MIT HUMAN-COMPUTER INTERACTION
Information OverloadNew York TimesFacebookTwitterEngadgetSlashdotFfffound!xkcdPostSecretCake WrecksCamels and ChocolateStereogumTelevision without PityFat CyclistLifehackerCute OverloadGawkerConfessions of a Pioneer WomanDiggReddit
Information OverloadNu
mbe
r of P
osts
Relevance to You0
Exhibit Transforms Your Spreadsheet into an Interactive Web Page
Lifehacker
Humanities Ph.D.s Are Anticipating Hard Times
New York Times
An Open Letter to Lance Armstrong(UPDATED x 3)
Fat Cyclist
It Was All Gravy Until Meningitis Came Into Play
Camels and Chocolate
Social FilteringE-mail
Social Networks
To: Michael Bernstein <[email protected]>From: Rob Miller [email protected]
Interesting article about a designer who jumped ship from Google to Twitter because he felt shackled by all the A-B testing.http://www.nytimes.com/2009/05/10/business/10ping.html
Your friends, family and colleagues know your interests, activities, and personality.
Friendsourcing:Your friends, family and colleagues know your interests, activities, and personality – and use it to help you.
Active Information Seekers
Survey Investigation N = 100
• Are the people who spend time seeking web content also sharing it?
“I rely on tools that aggregate popular web content from many sources: for example, Google News, Google Reader or Digg.”
“I often seek out entertaining posts, jokes, comics and videos using the internet.”
“I spend a large amount of free time viewing web content.”
“I often tell people I know about my favorite web sites to follow.”
“When I see something I like on the internet, my first thought is often, ‘Who else would enjoy seeing this?’”
“I often post interesting web content to public places like my IM status, my Facebook profile, or Digg.”
Yes: Sharers are Seekers• Over 50% of an
individual’s interestin sharing wasexplained by theirinterest in seekingR2 = .53, p < .001
• Social capitalhas an almost negligible effectAdj. R2 = .55
FeedMe• Designed to facilitate and amplify the
sharing process• Foregrounds sharing and suggests
friends who might be interested in posts being read
• Concern: it can be difficult to judge relevance, and it’s work to send an e-mail
• FeedMe: Lowers the relevance and effort barriers
• Concern: what if I spam my friends?• FeedMe: makes visible relevant
information
FeedMe
Recommend to:[email protected] [email protected] today 0 today Send
[email protected] today
[email protected] today
Vector Space Model
design: 184tweet: 170web: 79
twitter: 48social: 43friendfeed:
32blog: 25
developer: 23
sports: 200baseball: 150
sox: 132lacrosse: 89workout: 41muscle: 30hiking: 23vitamin: 22
New post:
Friend A:
Friend B:
Ongoing work• Palo Alto Research Center
Can we help business and individuals create and manage huge amounts of friend feed information?
x 100
To: Michael Bernstein <[email protected]>From: Rob Miller <[email protected]>, David Karger <[email protected]>,
Adam Marcus <[email protected]>Cc: Naveen Sharma <[email protected]>
Michael, you should probably check this out ...