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Recommender systems Arnaud De Bruyn Doctoral student in Marketing The Pennsylvania State University The Smeal College of Business Administration 701-L Business Administration Building University Park, PA 16802 Phone: (814) 865-5944 Fax: (814) 865-3015 Email: [email_address]
The articles ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Part I Types of recommendation systems
Search-based recommendations ,[object Object],[object Object],[object Object],[object Object],[object Object]
Search-based recommendations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Category-based recommendations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Category-based recommendations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Collaborative filtering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Collaborative filtering ,[object Object],[object Object],[object Object],[object Object]
Collaborative filtering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clustering ,[object Object],[object Object],[object Object]
Clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clustering ,[object Object],[object Object],[object Object],[object Object]
Clustering ,[object Object],[object Object]
Clustering ,[object Object],[object Object],[object Object],[object Object],[object Object]
Association rules ,[object Object],[object Object],[object Object]
Association rules ,[object Object]
Association rules ,[object Object],[object Object],[object Object]
Association rules ,[object Object],[object Object],[object Object]
Association rules ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Information filtering ,[object Object],[object Object],[object Object]
Information filtering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Information filtering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Information filtering
Information filtering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Data  mining your website Mastering  Data  Mining: The Art and Science of Customer Relationship Management Data 0.187 0.316
Information filtering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Information filtering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Classifiers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Classifiers ,[object Object],[object Object],[object Object],[object Object],[object Object]
Part II Taxonomy of recommendation systems
Taxonomy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Targeted customer inputs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Community inputs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Recommendation method ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outputs ,[object Object],[object Object],[object Object],[object Object]
Delivery ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Degree of personalization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
That’s all folks! Thank you!

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A Hybrid Recommendation system

  • 1. Recommender systems Arnaud De Bruyn Doctoral student in Marketing The Pennsylvania State University The Smeal College of Business Administration 701-L Business Administration Building University Park, PA 16802 Phone: (814) 865-5944 Fax: (814) 865-3015 Email: [email_address]
  • 2.
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  • 4. Part I Types of recommendation systems
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  • 28. Data mining your website Mastering Data Mining: The Art and Science of Customer Relationship Management Data 0.187 0.316
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  • 33. Part II Taxonomy of recommendation systems
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  • 41. That’s all folks! Thank you!