Yoda: An Accurate and Scalable Web-based Recommendation Systems Cyrus Shahabi, Farnoush Banaei- Kashani, Yi-Shin Chen, and Dennis McLeod Integrated Media Systems Center and Computer Science Department, University of Southern California E-mail:{shahabi, banaeika, yishinc, mcleod}@usc.edu
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Yoda: An Accurate and Scalable Web-based Recommendation Systems
Yoda: An Accurate and Scalable Web-based Recommendation Systems. Cyrus Shahabi, Farnoush Banaei-Kashani, Yi-Shin Chen, and Dennis McLeod Integrated Media Systems Center and Computer Science Department, University of Southern California E-mail:{shahabi, banaeika, yishinc, mcleod}@usc.edu. - PowerPoint PPT Presentation
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Yoda: An Accurate and Scalable Web-based Recommendation
Systems
Cyrus Shahabi, Farnoush Banaei-Kashani,
Yi-Shin Chen, and Dennis McLeodIntegrated Media Systems Center and
Computer Science Department,
University of Southern CaliforniaE-mail:{shahabi, banaeika, yishinc, mcleod}@usc.edu
Processing Time= CPU +IOIn BNN process: #Items = 5000; #Users = 1000In Yoda process: #Items in each cluster wish-list = 250 #Clusters = 18
Conclusion
Yoda scales as the # of users/items grow
Higher accuracy
Future Work
Compare other techniques
Run more experiments with real data
Incorporate the content-based filtering mechanism into
the user clustering & classification phases
Incorporate the user profiles
Reference
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