This is final project presentation of 'Social web technologies' course project, Reco-Gnizr, a bookmarks recommendation tool.

1. Reco-Gnizr
A bookmark recommendation tool
Team -
Audumbar Chormale
Kishor Datar
Uday Acharya

2. Agenda
● Features Functionality
● System Architecture
● Future Enhancements
● Business Potential
● Demo

3. Features
● Context aware bookmark recommendation
● Uses user feedback – Rating System
● Embedded in any web page - widget
● Uses Gnizr to create bookmark database

4. Scenario

5. System Architecture

6. How Bookmark Database is built?

7. Category Identification
● N-gram text classification algorithm
● Algorithm used for
– bookmark categorization
– Client web page categorization by content scraping
● Wikipedia documents used for training
● Currently supports Arts, Technology, sports

8. Bookmark Ratings
● User can give feedback on bookmarks
recommended by changing rating
● Rating scale : 1 to 5
● Bookmarks with higher rating are given priority

9. Web Widget
● Javascript widget that can be embedded in any
webpage
● Loads an iFrame in the client page
● Uses JSON data format and AJAX

10. Future Enhancements
● Customizable widget layout,
– Background color scheme
– Different Image size
● Fine tuned precomputed ngrams to improve
categorization accuracy
● Admin UI for Gnizr:
– Generate View Statistics

11. Summary
● With this service, any user can reap benefits from
Gnizr system
● It was a good experience working on
– AJAX, JSON
– Gnizr API, Webwork framework, Maven
– N-gram text classification
– Using google code svn

12. Demo

13. Thank you