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Design Strategies for  Recommender Systems Rashmi Sinha www.uzanto.com Jan 2006, UIE Web App Summit
What are Recommender Systems? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Designing different finding experiences ,[object Object],[object Object],There’s more than one way  to get from here to there…
User experience in search/browse interfaces ,[object Object],[object Object],[object Object],[object Object],Like driving a car…
User Experience with Recommender Systems ,[object Object],[object Object],[object Object],Like riding a roller coaster…
Recommender Systems Circa 2001
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],I know what you will read next summer!
A technological proxy for a social process “ I think you would enjoy reading these books…” Friends / Family Ref: Flickr photostream: jefield Ref: Flickr-BlueAlgae Ref: Flickr-Lady_Strathconn What should I read next?
Interaction paradigm “ Books you might enjoy are…” Output: Input: Rate some books Ref Flickr photostreams: anjill154 & rossination What should I read next?
[object Object],How collaborative filtering algorithms work Recommendations  For Meg Lets find a book for Meg!
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Challenges of Recommender System design
Domain differences drive design ,[object Object],[object Object],[object Object],[object Object]
Some observations & design principles
Trust is crucial ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Source: Sean McNee, John Riedl, Joseph Konstan, CHI Proceedings 2006 “ Making Recommendations Better: An Analytic Model for Human-Recommender Interaction”
Make system logic transparent ,[object Object],[object Object],[object Object],[object Object]
How to motivate participation ,[object Object],[object Object],[object Object]
Give users control… ,[object Object],[object Object],[object Object]
Provide detailed info about recommended items ,[object Object],[object Object],[object Object],[object Object]
The unfulfilled promise of Recommender Systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Source: Paolo Massal and Bobby Bhattacharjee, Proc. of 2nd Int. Conference on Trust Management, 2004 “ Using Trust in Recommender Systems: an Experimental Analysis”
Recommendations Circa 2006
What’s happened in the interim? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Pandora as a textbook example of recommender design principles
Characteristics of Pandora ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Last.fm: a social approach to recommendations
Exploring music at Last.fm
Characteristics of Last.fm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Other social recommenders…
What do these systems have in common? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Tim O’Reilly, “What is Web 2.0: Design Patterns and Business Models for the Next Generation of Software”
A revolution in RS user experience ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2001 2006 Intelligent  Agents Information & Social Hubs
User experiences for finding
User experience with social recommender systems ,[object Object],[object Object],[object Object],[object Object],[object Object],Flickr photostream: soundfromwayout
Design Principle 1: Make system personally useful (before recommendations) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Del.icio.us is useful from saving first link
Design Principle 2: Make system participatory ,[object Object],[object Object],[object Object],[object Object],Articles Photos
Different types of participation ,[object Object],[object Object],[object Object],Source: Bradley Horowitz’s weblog, Elatable, Feb. 17, 2006, “Creators, Synthesizers, and Consumers”
Design Principle 3: Make participatory process social ,[object Object],[object Object],Spotback
What people are doing on Digg
Design Principle 4: Instant gratification ,[object Object],[object Object],[object Object],[object Object]
Design Principle 5: Cultivate user independence ,[object Object]
Cultivating wise crowds ,[object Object],[object Object],[object Object],[object Object],[object Object]
Design Principle 6: Provide access to long tail, keep content fast moving ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Design Principle 7: Expose metadata, make it linkable ,[object Object],[object Object],[object Object]
Design Principle 8: Provide balance between public & private ,[object Object],[object Object],[object Object],[object Object],[object Object],Privacy settings on Flickr
Problems of early Recommender Systems addressed ,[object Object],[object Object],[object Object],[object Object]
So what’s left to solve? ,[object Object],[object Object],[object Object],[object Object]
Things to try at home! ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]

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Design of recommender systems