help wanted
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Description
I am actually using xDeepFM to find recommendation with implicit feedbacks and I did not find examples on how to find top-k recommendation with the model. I tried to use the function model.predict() with a file containing all the possible interactions between my users and items to find a score for each pair and sorting these scores to find top-k recommendation. This method gives me the same recommendation for every user so I would want to know if my method is wrong and what would you suggest to find top-k recommendation ?