how to use trained model as recommend system?











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I use tensorflow to build and train a Factorization Machine as a recommend system,the input is the combined features of special users and items,and the lable is the score of interest.but how can i use the trained model to recommend to real users,for there is more than 100k users and items respectively,the combination of users and items is so large,and calculate the score of the combination is impossilbe






tensorflow machine-learning recommendation-engine matrix-factorization







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    I use tensorflow to build and train a Factorization Machine as a recommend system,the input is the combined features of special users and items,and the lable is the score of interest.but how can i use the trained model to recommend to real users,for there is more than 100k users and items respectively,the combination of users and items is so large,and calculate the score of the combination is impossilbe






    tensorflow machine-learning recommendation-engine matrix-factorization







    share|improve this question
























      up vote
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      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I use tensorflow to build and train a Factorization Machine as a recommend system,the input is the combined features of special users and items,and the lable is the score of interest.but how can i use the trained model to recommend to real users,for there is more than 100k users and items respectively,the combination of users and items is so large,and calculate the score of the combination is impossilbe






      tensorflow machine-learning recommendation-engine matrix-factorization







      share|improve this question













      I use tensorflow to build and train a Factorization Machine as a recommend system,the input is the combined features of special users and items,and the lable is the score of interest.but how can i use the trained model to recommend to real users,for there is more than 100k users and items respectively,the combination of users and items is so large,and calculate the score of the combination is impossilbe






      tensorflow machine-learning recommendation-engine matrix-factorization




      tensorflow machine-learning recommendation-engine matrix-factorization






      share|improve this question













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      share|improve this question










      asked Nov 14 at 2:10









      Jack.Sparrow

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