aastha jain youtube 05 sept 2012.pptx
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Multi domain recommendation system
MOVIES BOOKS MUSIC
Multi domain recommendation system
MOVIES BOOKS MUSIC
Multi domain recommendation system
MOVIES BOOKS MUSIC
Multi domain recommendation system
MOVIES BOOKS MUSIC
Multi domain recommendation system
MOVIES BOOKS MUSIC
Multi domain recommendation system
MOVIES BOOKS MUSIC
Multi domain recommendation system
MOVIES BOOKS MUSIC
Multi domain recommendation system
MOVIES BOOKS MUSIC
Multi domain recommendation system
MOVIES BOOKS MUSIC
User characterization by item preferences
John likes:
Tom likes:
Recommendations:
Mary likes:
Movies Books
??
User characterization by item preferences
John likes:
Tom likes:
Recommendations (domain-specific):
Mary likes:
Movies Books
Popular books suggested since no prior information
is available
User characterization by item preferences
John likes:
Tom likes:
Recommendations (multi-domain):
Mary likes:
Movies Books
Based on Tom’s movie preferences, and other
users’ cross-domain information
User characterization by item preferences
John likes:
Tom likes:
Mary likes:
Movies Books
User characterization by item preferences
John likes:
Tom likes:
Mary likes:
Movies Books
Recommendations (multi-domain):
User characterization by item preferences
John likes:
Tom likes:
Mary likes:
Movies Books
Recommendations (multi-domain):
New items or sparsely rated items
• New movie• Very few user ratings• Cannot be correctly
classified and recommended
• Use meta information• Easier to identify similar
items
New items or sparsely rated itemsTom likes:
New items or sparsely rated itemsTom likes:
OOPS!
Recommendations:
New items or sparsely rated itemsTom likes:
OK!
Recommendations:
Domain Specific Recommendation Multi Domain Recommendation
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Domain Specific Recommendation Multi Domain Recommendation
# it
em
s ra
ted
by
use
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User User
Ave
rage
sq
uar
ed
err
or
# it
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s ra
ted
by
use
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62.56% decrease in root mean squared error
Quantitative ImprovementMethod Percentage
accuracyBooks
(220,000 ratings)
Music(80,000 ratings)
Video(22,000 ratings)
Collaborative Filtering(domain specific)
49.4 50.21 48.1 47.7
Collaborative Filtering
(multi-domain)
63.2 65.67 60.22 57.34
Hybrid(Multi-domainCollaborative + content based)
76.4 77.13 75.11 73.87
Aastha Jain