Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

KGIN关于推荐的问题 #28

Open
cabbgae opened this issue May 12, 2022 · 4 comments
Open

KGIN关于推荐的问题 #28

cabbgae opened this issue May 12, 2022 · 4 comments

Comments

@cabbgae
Copy link

cabbgae commented May 12, 2022

您好：
在了解KGIN的可解释性功能后，我想知道KGIN的实际用途是什么？能否向user推荐一个新的item，如何推荐，在代码或是论文中的哪一点体现出来。
十分感谢您的回答
@huangtinglin
Copy link
Owner

图推荐是讲原本的推荐问题，即判断一个用户与某个商品的相关性，看成是一个边预测问题。实际运用即现在某个user-item-KG上训练，然后预测user-item边存在的概率，与我们文中的实验与实验数据类似。

@cabbgae
Copy link
Author

cabbgae commented May 21, 2022

非常感谢您的回答！我想接着这个问题再问一下，能否用公式14，
image
来确定user对每个item的评分，从而达到推荐的目的。

@cabbgae
Copy link
Author

cabbgae commented May 21, 2022

还有一点，在代码中，公式14体现为
image
能具体说说此时pos_score和neg_score分别代表什么吗，有什么具体含义。非常感谢您能在百忙之中抽出时间来回答！

@huangtinglin
Copy link
Owner

huangtinglin commented Oct 11, 2022 via email

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@huangtinglin @cabbgae