1. Newsletters An automatic news recommender system
Manish Agrawal
March 12, 2008

2. Motivation Many data sources available online
Hard to keep track of all sources
Many sources might have similar content
Need to organize information by interest

3. Re-ranking based on feedback (if available)
Architecture
Crawler
Indexer
Meta
Data
(RDBMS)
Register Community
Date-wise Index
Query Index
Clustering
Re-ranking based on feedback (if available)
Newsletter DB
Manish Agrawal, V.G.Vinod Vydiswaran and Kamal K. Gupta: “Automated generation of interest based newsletters”

4. Every day… Crawling and Indexing Clustering and re-ranking
Facebook Appl (GUI)
Web Server
Newsletter DB
Newsletter
Crawling and Indexing
Clustering
and re-ranking
Manish Agrawal, V.G.Vinod Vydiswaran and Kamal K. Gupta: “ Automated generation of interest based newsletters”

5. Why Facebook? Provides a great platform with in built social networks
Possible to make applications that deeply integrate into a user's Facebook experience.
FBML (Facebook Markup language)
FBJS (Facebook Javascript)
FQL (Facebook Query Language)
Facebook API

6. Anatomy of a Facebook App (Integration Points)
Product directory
Left Navigation
Facebook Canvas Pages
Profile Box (Content cached on Facebook server)
Privacy settings
Mini-Feed
News-Feed
Alerts (E.g. Notification)
Requests (E.g. an invitation)

7. Screen Snapshots (Canvas Page)

8. Screen Snapshots (Profile Box)

9. Screen Snapshots (Mini Feed)

10. Future scope
More Personalization: Presently the newsletter is community specific. It can be personalized for individual Facebook user by exploiting user profiles and their friends’ profiles.
User feedback data (click-throughs, ratings, recommendations) can be used to improve the ranking algorithm and better model the community and the user

11. Thank you!