recommender systems in e-commerce
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TRANSCRIPT
Recommender Recommender SystemsSystems
in E-Commercein E-Commerce
J. Ben Schafer, Joseph Konstan, John Riedl
E-COMMERCR 99,Denver,Colorado1999 ACM Presentation by 邱信淵
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OutlineOutline Introduction
Recommender System
Examples
Taxonomy of recommender
systems
E-Commerce Opportunities
Conclusion2
IntroductionIntroductionOld world of mass production
Standardized productsHomogeneous marketsLong product life and development cycles
Now Develop multiple products to meet the multiple needs of multiple customers
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A Little Problem
“information overload!”Customers have to process the amount of information before to select what them want.
One solution: recommender systems
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Enhance E-commerce sales in 3 Enhance E-commerce sales in 3 waysways
Browsers into Buyers Help customers find the products
Cross-sell Suggestion additional products
Loyalty Creating relationships
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Recommender System Recommender System ExamplesExamples
Amazon
CDNOW
eBay
Levis
Moviefinder.com
Reel.com6
Recommender System Recommender System ExamplesExamples
Amazon.com
CDNOW eBay Levis Reel.com Moviefinder.com
Customers who bought
Album advisor
Feedback profile
Style finder Movie matches
Match maker
Eyes My CDNOW Movie map We predict
Amazon.com delivers
Book matcher
Customer comments
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Taxonomy of Taxonomy of recommender systems --recommender systems --InterfaceInterface
Browsing
Similar item
Text comments
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Taxonomy of recommender Taxonomy of recommender systems --Interfacesystems --Interface
Average rating
Top-N
Ordered search result
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Recommender System Recommender System ExamplesExamples
Business/Application
Recommendation
Interface
Recommendation
Technology
FindingRecommendatio
ns
Amazon.comCustomers who Bought
Similar Item Item to Item CorrelationPurchase data
Organic Navigation
Eyes Email Attribute Based Keywords/freeform
Amazon.com Delivers
Email Attribute Based Selection options
Book Matcher Top N List People to People CorrelationLikert
Request List
Customer Comments
Average Rating Text Comments
Aggregated RatingLikertText
Organic Navigation
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Recommender System Recommender System ExamplesExamples
Business/Application
Recommendation
Interface
Recommendation Technology
FindingRecommenda
tions
CDNOWAlbum Advisor Similar Item
Top N ListItem to Item CorrelationPurchase data
Organic NavigationKeyword/freeform
My CDNOW Top N List People to People CorrelationLikert
Organic NavigationRequest List
eBayFeedback Profile Average
Rating Text Comments
Aggregated RatingLikertText
Organic Navigation
LevisStyle Finder Top N List People to People
CorrelationLikert
Request List
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Recommender System Recommender System ExamplesExamples
Business/Application
Recommendation
Interface
Recommendation Technology
FindingRecommendati
ons
Moviefinder.comMatch Maker Similar Item Item to Item
CorrelationEditor’s choice
Navigate to an item
We Predict Top N ListOrdered Search ResultsAverage Rating
People to People CorrelationAggregated RatingLikert
Keywords/freeformSelection optionsOrganic Navigation
Reel.comMovie Matches Similar Item Item to Item
CorrelationEditor’s choice
Organic Navigation
Movie Map Browsing Attributed BasedEditor’s choice
Keywords/freeform
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Taxonomy of Taxonomy of recommender systemsrecommender systems ----TechniquesTechniques
Non-Personalized
Attribute-Based
Item-to-Item Correlation
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Taxonomy of recommender Taxonomy of recommender systemssystems --Techniques--Techniques
People-to-People Correlation
User Input Purchase data Likert Text Editor’s choice
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Finding Finding RecommendationsRecommendations
Organic Navigation
Album Advisor, Movie Matches, Feedback
Profile
Request Recommendation List
Book matcher, Style Finder
Selection Options
Amazon.com Delivers
Keyword/Freeform
Eyes; Album Advisor; We Predict, Movie Map15
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E-Commerce E-Commerce OpportunitiesOpportunitiesCombine multiple types of data (algorithms)
Buy-side Sell-side
Shared Information
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ConclusionConclusion
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