Filter bubble (chilling idea … for some)
Your content limited by your past& self-propagating interests
LDA
create virtual bins (latent topics)assign words to a bin (@ random)for each bin: select pair of words if co-occur more than chance: keep them in the bin else: put them into another bin (@ random)
Facebook Twitter
LDA
create virtual bins (latent topics)assign words to a bin (@ random)for each bin: select pair of words if co-occur more than chance: keep them in the bin else: put them into another bin (@ random)
Facebook Twitter
social
econometrics
LDA
create virtual bins (latent topics)assign words to a bin (@ random)for each bin: select pair of words if co-occur more than chance: keep them in the bin else: put them into another bin (@ random)
Facebook Twitter
social
econometrics
LDA
create virtual bins (latent topics)assign words to a bin (@ random)for each bin: select pair of words if co-occur more than chance: keep them in the bin else: put them into another bin (@ random)
For each doc:
LDA
create virtual bins (latent topics)assign words to a bin (@ random)for each bin: select pair of words if co-occur more than chance: keep them in the bin else: put them into another bin (@ random)
For each doc:
users
user1, user2, … (who belong to a given community)
artist
LDA
create virtual bins (latent topics)assign words to a bin (@ random)for each bin: select pair of words if co-occur more than chance: keep them in the bin else: put them into another bin (@ random)
The Beatles HolyBlood
LDA
create virtual bins (latent topics)assign words to a bin (@ random)for each bin: select pair of words if co-occur more than chance: keep them in the bin else: put them into another bin (@ random)
The Beatles HolyBlood
diversity() diversity()
similarity()
2. Community-Aware
balance * match(user’s history, artist) * diversity(artist)
favors artists with
broader fan bases
e.g., The Beatles ov
er HolyBlood
2. Community-Aware
balance * match(user’s history, artist) * diversity(artist)
favors artists with
broader fan bases
e.g., The Beatles ov
er HolyBlood
… but discounting for popularity
3. Bubble-Aware
The Beatles
HolyBlood
The Rolling Stones
balance * match(user’s history, artist) * bubbleness(artist)
3. Bubble-Aware
balance * match(user’s history, artist) * bubbleness(artist)
favors cluster
-avoiding artis
ts by
pushing the bo
undaries of a
user’s taste
User Study: Basic Auralist vs. Full Auralist
Some: accept accuracy loss for serendipityMajority: favours of greater accuracy
* serendipity IS a user-specific parameter