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
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