Filter bubbles occur when websites use algorithms to selectively show users information they are more likely to agree with based on their search history and other personal data. Search engines like Google use complex algorithms that analyze a user's search history, location, browser used, time of day, and other signals to determine what results to display. This personalization of results can unintentionally limit the diversity of information users are exposed to.

1. Filter Bubbles
BY: Nakhwa Muzaffar
Seminar Guide:
Sable Nilesh

2. What are Filter Bubbles ?
 A filter bubble is a concept to describe a
phenomenon in which websites
use algorithms to selectively guess what
information a user would like to see.

3. Who is using it ?

5. Edge Rank Algorithm

12. PAGE RANK

14. Some known signals :
 Our Search History.
 Our location .
 The Browser we use.
 Average position of search results we click on.
 Time of the day.
 How often do we use Autosuggestion.
 Average amount of search requests per day.
 Accessing information through Phone or PC

15. How much information do you give away?
Can it be used to uniquely identify you?
Alerts
Maps
Answers
Mobile
Blog Search
News
Book Search
Scholar
Catalogs
SMS
Directory
Special Searches
Froogle
University Search
Groups
Video
Images
Web Search
Google Labs
Local
Blogger
Google Pack
Code
Picasa
Desktop Search
Google Talk
Google Earth
Toolbar
Gmail
Translate Tool
Local for mobile

16. Identity Disclosure
Network
Layer
Browser
Environment
Variables
Google
Account
Local
Google
Applications
Enterprise
Appliances
Cookies