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Slide 1: Google Tech Talk: Social Recommendations April 10, 2008, 1 p.m. Presented by Dan Carroll of

Slide 2: Introduction • Social recommendations, a new lens • Hyper-relevant results delivered through hierarchical social relationships 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 3: Introduction • Information age: access v. experience • Design principle: respect for the beauty, complexity, diversity and evolution of the human condition 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 4: Overview • Recommendations today • Benefits and limitations • General concepts of social recommendation • Why it is important? • What are the opportunities? • What are the challenges? • Current efforts in social recommendation • SoMR, the Social Media Recommendation engine • Questions 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 5: Recommendations today • Provide access • Play a critical role in our lives 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 6: Examples What to read: What to hear: 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 7: More Examples What to watch: What is news: 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 8: More Examples Where to Eat: Where to work: 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 9: More Examples Who to date: Who to marry: 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 10: What works Current search engines provide examples of successful recommendations based on spidered data and requested information. 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 11: What also works Amazon, Netflix and iTunes provide examples of successful recommendations based on the ratings of their users. 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 12: Limitations • Tyranny of the bored (Bill Goldsmith of Radio Paradise) • Leave Brittany Alone on YouTube 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 13: Monotony of the masses 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 14: The pigeon hole 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 15: What’s next Social recommendation assumes • Friends and other connections are trusted sources of information. • Social relevancy can provide a superior experience. 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 16: Why is this important 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 17: Why is this important We’re designing future experiences. 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 18: Assumptions • Access-based recommenders (i.e. search engines) assume you know what you want and you’re willing to take the time to find it. • Social recommendations can enhance access-based recommenders or create a completely new experience. 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 19: Challenges • Privacy • Control • Relevance v. permanence 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 20: Current efforts • YouTube • Facebook’s friend recommender • TrustedOpinion • Social Suggester • Stumble Upon • MyStrands 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 21: What’s next • Curated experience • Socializing the web 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 22: Amazon socialized Discovery may indeed be for web 2.0 what search was for web 1.0. 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 23: Yelp socialized 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 24: YouTube socialized 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 25: What’s needed • An initiative that ties together the social graph, relationship data from closed social networks and content identifiers. • Person to person relationships and person to content relationships could follow users throughout the sites they visit. • Contact dan@somr.org 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 26: Opportunity • Utilization of friend of friend and usage data to make intelligent recommendations based on actions and interactions • Recommendation becomes curated experience 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 27: SoMR: Social Media Recommendation API • Algorithm to generate recommendations by social relevancy • Web service for social recommendation • Delivers superior content and advertising • Creates new social media experiences 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 28: Current project 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 29: New genre (geo-location) 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 30: New social media experiences 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 31: SoMR design principles Designers of • Beauty applications, social • Complexity networks and content sites need to be • Diversity focused on social • Evolution interactions and human- centric responses which respect these human qualities. 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 32: SoMR technical design elements • Influence as primary metric • Dynamic formula • Social relationships, activity, implicit and explicit • Supplemental not substitutional 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 33: SoMR API allows: • Build superior media applications • Provide lift for advertising networks • Add social relevance to existing applications, platforms and sites 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 34: What will you build? • Mashed-up applications • Cross-platform social intelligence • Social relevance within your content site 4/10/08 Tech Talk on Social Media Recommendation SoMR.org

Slide 35: Interested? Then, Build something – developers@somr.org Optimize Advertising – sara@getimp.com Or just find out more – somr.org Thanks! Dan Carroll dan@somr.org 4/10/08 Tech Talk on Social Media Recommendation SoMR.org