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CoffeeShop Steve Stein Garrett Wu An RSS reader for the community.

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Presentation on theme: "CoffeeShop Steve Stein Garrett Wu An RSS reader for the community."— Presentation transcript:

1 CoffeeShop Steve Stein Garrett Wu An RSS reader for the community

2 What is CoffeeShop?  In Vienna, the coffee shop plays an important role in Viennese culture and tradition, where it is completely normal for a customer to linger for hours and study the omnipresent newspaper (Wikipedia).  CoffeeShop is an RSS reader that takes advantage of the most important part of the web – the community.

3 What is an RSS reader?

4 What can you do with it?  Search and subscribe to feeds, then use tags to organize them.  Flag “interesting” articles for later review.  Discover users who have similar interests.  Become somebody’s fan – subscribe to the articles they find interesting.  Express your opinions by commenting on articles for the world to see.  Add triggers – find out immediately when any new article is about.  Since it’s web based, do your reading from any web-accessible device.

5 How?  Client-Server Architecture: Internet Users Web browsers Web server CoffeeShop Datacenter CoffeeShop Server-side Client-side

6 How?  Searching for feeds: Users CoffeeShop Google News Reuters Joe’s Blog RSS Feed DB Add feeds Search for feeds

7 How?  Becoming a fan: Peter Norvig Me I like AI I love AI AI Journal RSS Feed Subscribes to

8 How?  Becoming a fan: Peter Norvig Me I like AI I love AI AI Journal RSS Feed Subscribes to I like Peter Norvig

9 How?  Becoming a fan: Peter Norvig Me I like AI I love AI AI Journal RSS Feed Subscribes to I like Peter Norvig Fan of

10 How?  Becoming a fan: Peter Norvig Me I like AI I love AI AI Journal RSS Feed Subscribes to I like Peter Norvig Fan of Interesting Articles

11 Who will use CoffeeShop?  Target audience: People who use RSS  Benefits over other readers: Easier to find interesting and relevant articles:  Article/feed suggestions  Tagging  “Interesting” articles distributed to fans Leverages community participation  See what others have to say (comments)  Organize articles by popularity (community buzz).


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