Zerozero88 Twitter URL Item Recommender
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The document describes a social information streaming and recommendation system. It discusses components like URL sources, topic relevance scores, social network scores, and a recommendation engine. It analyzes different design choices for each component and evaluates their effects on recommendation accuracy through a live deployment. Key findings are that combining followee-of-followees URLs, self-topic relevance scores, and social voting leads to the most accurate recommendations. The system demonstrates that algorithmic choices impact not only accuracy but also user experiences.
Zerozero88 Twitter URL Item Recommender
- 1. +University of Palo Alto Research Center! ^MIT CSAIL! Minnesota! 8/23/10 CHI2010 ZeroZero88.com 1
- 2. ?? Social Information Streams! 8/23/10 CHI2010 ZeroZero88.com 2
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- 4. Follower and Followee ! follows Follower Followees
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- 8. URL Sources Topic Relevance Scores User Topic Profiles Social Network Scores Local Social Network Recommendation Engine ??Multiply scores ??Rank URLs using multiplied scores ??Recommend highest ranked URLs
- 9. Component Possible Design Choices URL Sources FoF (followee-of-followees) Popular 8/23/10 CHI2010 ZeroZero88.com 9
- 10. URL Sources Topic Relevance Scores User Topic Profiles Social Network Scores Local Social Network Recommendation Engine ??Multiply scores ??Rank URLs using multiplied scores ??Recommend highest ranked URLs
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- 12. Component Possible Design Choices Topic Relevance Self-Topic Scores Followee-Topic None 8/23/10 CHI2010 ZeroZero88.com 12
- 13. URL Sources Topic Relevance Scores User Topic Profiles Social Network Scores Local Social Network Recommendation Engine ??Multiply scores ??Rank URLs using multiplied scores ??Recommend highest ranked URLs
- 14. Component Possible Design Choices Social Network Social Voting Scores None 8/23/10 CHI2010 ZeroZero88.com 14
- 15. Component Possible Design Choices URL Sources FoF (followee-of-followees) Popular Topic Self-Topic Relevance Followee-Topic Recommendation Engine Scores None ??Multiply scores Social Social Voting ??Rank URLs using multiplied scores Network None ??Recommend highest ranked URLs Scores 8/23/10 CHI2010 ZeroZero88.com 15
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- 19. Component Possible Design Choices URL Sources FoF (followee-of-followees) Popular Topic Relevance Self-Topic Scores Followee-Topic None Social Network Social Voting Scores None (beta=0.22, Z=1.78, p=.08) 8/23/10 CHI2010 ZeroZero88.com 19
- 20. Component Possible Design Choices URL Sources FoF (followee-of-followees) Popular Topic Relevance Self-Topic Scores Followee-Topic None Social Network Social Voting Scores None (beta=0.58, Z=4.95, p<.001) (beta=0.27, Z=2.48, p=.01) 8/23/10 CHI2010 ZeroZero88.com 20
- 21. Component Possible Design Choices URL Sources FoF (followee-of-followees) Popular Topic Relevance Self-Topic Scores Followee-Topic None Social Network Social Voting Scores None (beta=1.02, Z=6.53, p<.001) 8/23/10 CHI2010 ZeroZero88.com 21
- 22. Component Possible Design Choices URL Sources FoF (followee-of-followees) Popular Topic Relevance Self-Topic Scores Followee-Topic None Social Network Social Voting Scores None 8/23/10 CHI2010 ZeroZero88.com 22
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- 26. Algorithms Differ Not Only in Accuracy! !
- 27. Acknowledgements! ?? ASC folks at PARC! ?? All users of Zerozero88.com! ?? My labmates at the University for helping me prepare the presentation! ?? ¡ and reach me at jilin@cs.umn.edu for questions!!