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推荐系统论文算法实现,包括序列推荐,多任务学习,元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.

License: MIT License

Python 100.00%
artificial-intelligence paper-implementations recommendation-system recommender-system deep-learning machine-learning neural-network python3 pytorch-implementation

recsystem-pytorch's Introduction

Hi there 👋

I am Jayus. A master student in Chinese University of Hongkong, Shenzhen, major in data science. I try to do some interesting things with you!

  • 🔭 I’m currently working on paper for recommender systems implement with Pytorch 😊
  • Please give me any advice!

i-Jayus



😆 Hey! Welcome to my profile

🍉 Take a look at my stats 🌱

i-Jayus's github stats


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recsystem-pytorch's Issues

I want to ask a question. In ETA model, is long_term id shared embedding with short_term id? Thank you!

class ETA(nn.Module):
....
def forward(self,user,item,long_term,short_term):
"""
:param user: user id
:param item: item id
:param long_term: long-term behavior sequence
:param short_term: short-term behavior sequence
"""
user = torch.flatten(self.user_embedding(user))
item = torch.flatten(self.item_embedding(item))
hashed_item = self.hashing(item)
long_item = []
for i in range(len(long_term)):
long_item.append(torch.flatten(self.item_embedding(long_term[i])))

    short_item = []
    for i in range(len(short_term)):
        short_item.append(torch.flatten(self.item_embedding(short_term[i])))

...

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