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Project Prometheus/Collaborative Filtering

일단은 본격적인 CF둜 κ°€λŠ” 것보닀 μ•„λ§ˆμ΄μ˜ "Customers who bought this book also bought"μ‹μœΌλ‘œ μ€ λ” κ°„λ‹¨ν•œ 것을 ν•˜λŠ” 것이 쒋을 λ“― ν•˜λ‹€. 이것은 κΌ­ Clustering이 ν•„μš”μ—†λ‹€ -- Clustering이 효과λ₯Ό λ°œνœ˜ν•˜λ €λ©΄ μƒλ‹ΉλŸ‰μ˜ 데이타(NoSmok:CriticalMass )κ°€ μŒ“μ—¬μ•Ό ν•˜λŠ”λ°, μ‰¬μš΄ 일이 아닐 것이닀. λ‹€μŒμ€ JuNe이 μƒκ°ν•œ κ°„λ‹¨ν•œ μ•Œκ³ λ¦¬μ¦˜. μΌμ’…μ˜ Item-to-Item Correlation Recommendation.
  • userPref is a set of book preferences of a user.
  • For every meaningful action(searching, viewing, writing a review, rating without writing reviews) there is a pref coefficient. (prefCoef)
  • bookPref is a set of book preferences of a book. (similar concept to "also bought")
  • When a user does a specific well-defined action, bookPref is updated as "prefCoef*userPref+bookPref" and resorted. (some books at the end of the list might be eliminated for performance reasons)
  • Any top Ns are shown from the bookPref


Iteration 2 μ—μ„œ λ§Œλ“  Prototype & μ•Œκ³ λ¦¬μ¦˜ (μΆ”ν›„ μž‘μ„± μ˜ˆμ •)



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