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sequential_recommendation_tensorflow's Issues

About FPMC

fmc = torch.mean(fmc, dim=-1)是否需要修改为

fmc = torch.div(torch.sum(torch.matmul(Vil, Vli.permute(0, 2, 1)), dim=-1), item_list_len.float())
item_list_seq与pred的score是否应该除以其实际的长度而不是tf.mean

other dataset

I have tried to test the AttRec model with other datasets, but have been unsuccessful. Excuse me, what are the requirements for the dataset?

Little typo about make_datasets.py

# ReMap usr ids
user_unique = data['user'].unique().tolist()
user_map = dict(zip(user_unique, range(1, len(user_unique) + 1)))
user_map[-1] = 0
all_user_count = len(**_user_map_**)
data['user'] = data['user'].apply(lambda x: user_map[x])

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