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Amazon Item-to-Item Recommendations

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Roger Chen
Roger Chen

The document discusses recommendation algorithms used by Amazon, including traditional collaborative filtering, cluster models, and search-based methods. It focuses on Amazon's item-to-item collaborative filtering algorithm. This algorithm builds a similar-items table offline by finding items customers tend to purchase together. It then scales well to large data sets, provides high quality recommendations even with limited user data, and performs recommendations quickly.

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Amazon.com Recommendation Item-to-Item Collaborative Filtering Authors: Greg Linden,Brent Smith,and Jeremy York Origin: JANUARY • FEBRUARY 2003 Published by the IEEE Computer Society Reporter: 朱韋恩 Date: 2008/11/3
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object]
Recommender system in our life
Some problem ,[object Object],[object Object],[object Object]
Three common approaches to solving the problem ,[object Object],[object Object],[object Object],[object Object],[object Object]
Traditional Collaborative Filtering ,[object Object],[object Object],[object Object]
Traditional Collaborative Filtering ,[object Object],[object Object],[object Object],[object Object],[object Object]
Cluster Models ,[object Object],[object Object]
Cluster Models ,[object Object],[object Object],[object Object],[object Object]
Search-Based Methods ,[object Object],[object Object]
Search-Based Methods ,[object Object],[object Object],[object Object]
Search-Based Methods ,[object Object],[object Object],[object Object]
Item-to-Item Collaborative Filtering ,[object Object],[object Object]
Amazon.com
Amazon.com
Item-to-Item CF Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Item-to-Item Collaborative Filtering ,[object Object],[object Object]
Scalability: A Comparison ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Scalability: A Comparison ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusion

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